Tenth Revolution Group

6 Month Contract Inside IR35 Remote - Analytics Engineer - Microsoft Viva Exp required I am working a role at the moment with a consultancy and they are looking for an Analytics Engineer for an initial 6 month contract which is likely to extend beyond that. The role will be fully remote and will require experience with the following tools: Microsoft Viva & Viva Insights Microsoft 365 Power BI Power automate Azure Data factory or similar tools. The main responsibilities will be to: Define KPIs and key metrics and KPIs to help with employee engagement, learning,productivity and goal alignment. Ensuring data accuracy, security and governance compliance with organisational standards. Please feel free to apply if you believe this spec fits your profile, and get in touch at (url removed).

Contract Metadata Analyst - 600/day (Inside IR35) Please note - this role is Inside IR35 and requires you to work on site in London two days per week. To be eligible for this role you must have the unrestricted right to work in the UK. This organisation will not offer sponsorship. Overview Our client is seeking an experienced Metadata Analyst to join their team. This role is critical in driving metadata governance and ensuring compliance with enterprise standards. The successful candidate will work closely with data owners, stewards, and project managers to maintain and enhance metadata repositories and processes. Key Responsibilities Own and maintain metadata management repositories. Ensure metadata adheres to policy standards. Collaborate with data owners and stewards to populate CDEs business metadata. Work with project managers to populate technical business metadata for MITBIT initiative. Establish and execute attestation and change management processes. Support documentation of data lineage where required. Assist in identifying long-term and interim metadata management tools. Promote standardisation, visibility, and corporate usage of metadata. Be hands-on in all aspects of metadata management. Qualifications, Skills & Experience Strong understanding of business and technical metadata types. Significant experience in metadata management. Familiarity with formal and informal metadata management tools. Proficiency in data modelling and data profiling. Excellent documentation and stakeholder management skills. Financial Services experience preferred (not essential). This role pays 600/pd (inside IR35) and will require you to work from the London office two days per week. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed).

Senior Data Engineer Salary: Up to 70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for performance and reusability. To be successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Reporting experience with Power BI. Strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks. Some of the package/role details include: Salary up to 70,000 Hybrid working model twice per week in Portsmouth Pension scheme and private healthcare options Opportunities for training and development This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss it further.

Data Engineer - Microsoft Fabric - Azure - London - Hybrid - 70k A well-established multinational organisation is undergoing a major data transformation, moving from legacy systems to a modern Microsoft ecosystem built on Azure and Fabric. We're looking for a Data Engineer with hands-on Microsoft Fabric experience to lead this migration, design scalable architecture, and support analytics, forecasting, and AI enablement. Key Responsibilities: Spearhead the migration to Microsoft Fabric Build robust data pipelines using OneLake, Dataflow and Data Factory Deliver full-stack data engineering solutions What You'll Bring: Proven experience in BI or Data Engineering roles Strong skills in Microsoft Fabric and Azure Data Services Solid knowledge of SQL and Power BI Experience with data migration and modern data platforms What's on Offer: Competitive salary up to 70,000 (DOE) Hybrid working - just 2-4 days per month onsite in London A pivotal role in a high-impact transformation project Supportive, flexible, and collaborative team culture Interviews are happening now - don't miss out!

Data Engineer - London - Databricks - Azure - 75k + bonus + benefits Tech Stack: Azure Databricks Power BI Python Are you ready to shape the future of data? We're looking for a Data Engineer to join a team that thrives on innovation and cutting-edge technology. If you love solving complex data challenges and building scalable solutions, this is your chance to make an impact. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus: Python What you'll do Design and implement scalable Azure-based data solutions Build and optimize data pipelines for integration and transformation Develop Power BI dashboards for global stakeholders Ensure data quality, governance, and security Collaborate in an Agile environment with cross-functional teams What We're Looking For Hands-on experience with Azure & Databricks Strong data engineering and modelling skills Proficiency in Power BI, T-SQL, DAX Ability to troubleshoot complex data issues and deliver solutions Benefits Competitive salary + bonus Pension, private medical, flexible benefits 25 days holiday + buy more options High-trust, high-performance culture If you love working with modern data platforms and want to make an impact, apply today.

Azure Data Engineer - 400PD - Remote Seeking an experienced Data Engineer to design, build, and optimise data solutions within the Microsoft Azure ecosystem. The role focuses on pipeline development, data modelling, governance, and supporting analytics teams with high-quality, reliable data. Key Responsibilities: Develop and maintain scalable data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. Build efficient ETL/ELT processes and data models to support analytics, reporting, and dashboards. Optimise existing pipelines for performance, reliability, and cost efficiency. Implement best practices for data quality, error handling, automation, and monitoring. Manage data security and governance, including Row-Level Security (RLS) and compliance standards. Maintain documentation and metadata for data assets and pipeline architecture. Collaborate with analysts, data scientists, and stakeholders to deliver trusted data products. Provide technical support and troubleshoot production issues. Contribute to improving data engineering processes and development lifecycle. Required Skills & Experience: Proven experience as a Data Engineer working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/CD and DevOps (Git, YAML pipelines). Strong grasp of data governance, security, and performance tuning. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Data Engineering Team Lead - Remote - Databricks - Azure - 80k Join a Leading Microsoft Consultancy Driving Data Innovation I'm working with a well-established Microsoft Partner with an incredible project pipeline, rapid growth, and a reputation for delivering Tech for Good. They're working on cutting-edge projects using emerging technologies like Microsoft Fabric and Azure Databricks. We're looking for a Data engineering team lead who combines hands-on technical expertise with leadership skills to mentor a talented team and deliver exceptional solutions for our clients. What You'll Do Lead and mentor a team of Technical Consultants, driving engagement, growth, and alignment with our culture. Oversee resource planning, scheduling, and performance management. Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects. Ensure consistent delivery of technical solutions aligned with best practices and standards. Support technical delivery when needed, including designing scalable data solutions in Microsoft/Azure environments. Contribute to innovation through cloud migrations, data lakes, and robust ETL/ELT solutions. What We're Looking For Hands-on Data Engineering experience (not Data Analyst or Data Scientist roles). Strong background in Azure Synapse, Databricks, or Microsoft Fabric. Expertise in ETL/ELT development using SQL and Python. Experience implementing data lakes and medallion lakehouse architecture. Skilled in managing large datasets and writing advanced SQL/Python queries. Solid understanding of BI and data warehousing concepts. Excellent communication skills and ability to build strong relationships. Ideally, experience in consulting environments and working within high-performing teams. The company Rapid Growth & Exciting Projects - Continuing to grow working on cutting-edge Microsoft Cloud solutions. Investment in You - They invest in training and development, with clear certification pathways for you. Home-Based Contract - Work remotely with all travel expenses covered. UK-Based Delivery - We never offshore; all consultants are UK-based. Competitive salary and benefits, including: 25 days holiday Private health insurance (after one year) Life assurance (4x base salary) Enhanced parental pay Perkbox, Cyclescheme, Electric Car Scheme Ready to lead and innovate? Apply now or send your CV directly to me: (url removed)

Database Administrator (DBA) Salary: Up to 75,000 DoE I am working with a well-established organisation undergoing a period of digital maturity and infrastructure optimisation. With a robust IT team of over 40 professionals and a cloud-first strategy, they are investing in strengthening their data resilience and governance across their SQL Server estate. As part of this growth, they are looking to bring on an experienced Database Administrator to take ownership of their SQL Server environment, which is fully hosted in Azure. This is a hands-on and strategic role where you will assess, optimise and manage the database estate while contributing to long-term planning and risk mitigation. You will be joining a collaborative and forward-thinking team that values autonomy, technical excellence and proactive problem-solving. In this role, you will be responsible for: Reviewing database resilience including replication, backups, key configurations, and slow-running queries. Assessing the SQL Server estate to highlight risks and opportunities and creating a roadmap for improvement. Evaluating the pros and cons of future migration efforts. Reviewing and improving existing documentation, governance tools, and DBA repositories. To be successful in this role, you will have: Proven experience managing SQL Server environments, both on-premise and cloud-based. Strong understanding of Azure-hosted databases and cloud architecture. Familiarity with Redgate tools and database monitoring solutions. Ability to work independently and take ownership of technical challenges. Excellent communication and documentation skills. Some of the package/role details include: Salary of up to 75,000 depending on experience Hybrid working model (HQ based just outside Bradford) Supportive team culture with autonomy and trust Pension scheme and private healthcare options Opportunities for training and development This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss it further.

Data Engineer - AI & Data Integration Up to 75,000 + Bonus I have partnered with a trailblazing technology company that is redefining how industrial enterprises operate leveraging deep data integration, generative AI and bespoke enterprise workflows to drive transformation at scale. As part of their continued growth, they are seeking a Data Engineer to lead high-impact client delivery and embed their platform into global operations. This is a strategic role where you will collaborate directly with senior stakeholders to tackle complex challenges and deliver tangible business outcomes through data and AI integration. You will be joining a mission-driven team of world-class technologists and business leaders working at the forefront of innovation and real-world impact. In this role, you will: Deliver complex data projects using PySpark and modern data tools Build scalable generative AI workflows using modern infrastructure Collaborate cross-functionally to ensure seamless delivery and adoption Drive innovation and continuous improvement across client engagements To be successful in this role, you will have: Proven experience in data engineering or integration Strong proficiency in Python and PySpark Exposure to generative AI platforms or a passion for building AI-powered solutions Ability to lead client delivery in dynamic, fast-paced environments Familiarity with tools like Airflow, Databricks or DBT is a plus What's on offer: Salary up to 75,000 Bonus and equity options Hybrid working: 3 days in a vibrant central London office, 2 days remote This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss further.

Data Integration Engineer - Hybrid (Telford) Day Rate: 513 (Inside IR35) Contract Length: 6 months Location: Hybrid - 2 days per week onsite in Telford Security Clearance: Active SC clearance required About the Role We're seeking an experienced Data Integration Engineer to join a new Scrum team within the Minerva Platform, supporting HMRC's Modernizing, Mandating Tax Advisor Registration (MMTAR) initiative. This project will deliver a unified, automated registration journey for tax agents across multiple regimes, incorporating risk assessment and advanced data processing. You'll play a key role in designing and implementing ingestion and risking capabilities within the SAS Platform, including IDP, as part of a high-impact transformation program. Key Responsibilities Design, develop, and deploy data integration and transformation solutions using Pentaho , Denodo , Talend , and SAS . Architect scalable data pipelines and services to support BI and analytics platforms. Collaborate with cross-functional teams to define technical specifications and deliver robust solutions. Champion Agile/Scrum methodologies and drive timely sprint delivery. Implement DevOps practices for CI/CD, automated testing, and deployment. Mentor junior engineers and foster technical excellence. Ensure compliance with data quality, governance, and security standards. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills & Experience Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). Excellent problem-solving and communication skills. Active SC clearance is mandatory . Qualifications Proven track record delivering complex data projects. Certifications in Agile/Scrum, DevOps, or relevant data technologies are desirable.

Data Engineering Team Lead - Remote - Databricks - Azure - 80k Join a Leading Microsoft Consultancy Driving Data Innovation I'm working with a well-established Microsoft Partner with an incredible project pipeline, rapid growth, and a reputation for delivering Tech for Good. They're working on cutting-edge projects using emerging technologies like Microsoft Fabric and Azure Databricks. We're looking for a Data engineering team lead who combines hands-on technical expertise with leadership skills to mentor a talented team and deliver exceptional solutions for our clients. What You'll Do Lead and mentor a team of Technical Consultants, driving engagement, growth, and alignment with our culture. Oversee resource planning, scheduling, and performance management. Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects. Ensure consistent delivery of technical solutions aligned with best practices and standards. Support technical delivery when needed, including designing scalable data solutions in Microsoft/Azure environments. Contribute to innovation through cloud migrations, data lakes, and robust ETL/ELT solutions. What We're Looking For Hands-on Data Engineering experience (not Data Analyst or Data Scientist roles). Strong background in Azure Synapse, Databricks, or Microsoft Fabric. Expertise in ETL/ELT development using SQL and Python. Experience implementing data lakes and medallion lakehouse architecture. Skilled in managing large datasets and writing advanced SQL/Python queries. Solid understanding of BI and data warehousing concepts. Excellent communication skills and ability to build strong relationships. Ideally, experience in consulting environments and working within high-performing teams. The company Rapid Growth & Exciting Projects - Continuing to grow working on cutting-edge Microsoft Cloud solutions. Investment in You - They invest in training and development, with clear certification pathways for you. Home-Based Contract - Work remotely with all travel expenses covered. UK-Based Delivery - We never offshore; all consultants are UK-based. Competitive salary and benefits, including: 25 days holiday Private health insurance (after one year) Life assurance (4x base salary) Enhanced parental pay Perkbox, Cyclescheme, Electric Car Scheme Ready to lead and innovate? Apply now or send your CV directly to me:

Contract Role: Metadata Management Specialist Location: Hybrid (London - likely 1-2 days onsite per week) Duration: 6 months IR35 Status: SDS to be determined Key Responsibilities Own and maintain interim DMO metadata management repositories Ensure metadata complies with policy standards Collaborate with data owners and stewards to populate business metadata for CDEs Work with project managers to capture technical metadata for MITBIT initiatives Establish and execute attestation and change management processes Support documentation of data lineage where required Assist in identifying long-term and interim metadata management tools Promote standardisation, visibility, and corporate-wide adoption of metadata Hands-on involvement in all aspects of metadata management Skills & Experience Strong understanding of business and technical metadata types Significant experience in metadata management and related tools Proficiency in data modelling and data profiling Excellent documentation and stakeholder management skills Financial Services experience preferred (not essential) Additional Information Contractors are expected to maintain clear reporting lines, comply with regulatory requirements, and uphold the Company's Code of Conduct. You will be responsible for maintaining professional competence and supporting compliance standards throughout the engagement.

Analytics Engineer Location: London About the Role: We are seeking an experienced Analytics Engineer to help design and scale a modern data platform for a global organisation. This role is ideal for someone passionate about building robust data architectures, enabling actionable insights, and driving analytics maturity across the business. Enjoy owning the full analytics workflow from raw ingestion to dashboards. Value clean, documented, and tested data models. Have a product mindset and embrace stakeholder feedback. Stay current with modern data tooling and best practices. Key Responsibilities: Design and maintain scalable data warehouse architecture using the Medallion model (Bronze/Silver/Gold layers). Build, test, and deploy dbt/dataform models with reusable SQL-based transformations. Develop and optimise BI dashboards and data products using Tableau, translating business needs into visual insights. Orchestrate and monitor data pipelines, ensuring data quality and timely delivery. Implement data quality checks, observability, and maintain data cataloging and lineage. Drive CI/CD practices using GitHub Actions or similar tools. Collaborate with cross-functional teams to improve platform capabilities and analytics maturity. Requirements: Proven experience in BigQuery and dbt/dataform for data warehousing and transformation. Strong SQL skills and understanding of modern data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. Familiarity with orchestration tools (e.g., Prefect, Airflow), data quality frameworks, and metadata tools. Proficiency in Git, CI/CD, and scripting with Python. Excellent communication skills and ability to work collaboratively across technical and business teams.

Contract Role: Data Governance & Data Quality SME Location: Hybrid (London - likely 1-2 days onsite per week) Duration: 6 months IR35 Status: SDS to be determined Key Responsibilities Define and document target operating model and interim phases in line with DMO vision Create terms of reference for key roles and responsibilities Design and document business processes and data standards Support Data Council and working group meetings Assist in defining control frameworks (in collaboration with Metadata Lead) Deploy and refine processes with Data Quality Analyst to ensure BAU readiness Develop training materials and deliver initial training sessions Ensure alignment between EMEA DMO and major transformation programmes (MIT/BIT) Mentor junior team members and provide hands-on support Skills & Experience Extensive experience as a Data Governance and Data Quality SME Strong documentation, process design, and stakeholder management skills Financial Services experience preferred (not essential) Additional Information Contractors are expected to maintain clear reporting lines, comply with regulatory requirements, and uphold the Company's Code of Conduct. You will be responsible for maintaining professional competence and supporting compliance standards throughout the engagement.

Analytics Engineer - London - Hybrid - BigQuery - Tableau - 85k Join a global organisation and help design and scale a modern data platform. As an Analytics Engineer, you'll own the full analytics workflow-from raw ingestion to dashboards-using cutting-edge tools like BigQuery, dbt, and Tableau. Key Responsibilities: Build and maintain scalable data architecture using the Medallion model. Develop dbt/dataform models and reusable SQL transformations. Create impactful Tableau dashboards for business insights. Ensure data quality, observability, and governance. Drive CI/CD practices and collaborate across teams. What We're Looking For: Proven experience with BigQuery, dbt/dataform, and Tableau. Strong SQL and modern data architecture knowledge. Familiarity with orchestration tools (Prefect, Airflow), Git, CI/CD, and Python. Excellent communication and stakeholder engagement skills. Ready to make an impact? Apply now!

Head of Data Engineering - Azure & Databricks - Remote - Up to 100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact. Key Responsibilities: Lead and mentor a team of data engineers, fostering a culture of innovation and excellence. Architect and implement scalable data solutions using the Azure tech stack and Databricks. Collaborate with cross-functional teams to align data initiatives with business goals. Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed. Requirements: Proven experience in leading data engineering teams. Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks. Comfortable balancing strategic leadership with occasional hands-on technical work. Excellent stakeholder management and communication skills. Benefits: Competitive salary up to 100,000. Opportunity to shape the data landscape of a forward-thinking organisation. Discretionary Bonus. And more.

Head of Data Engineering - Azure & Databricks - Remote - Up to 100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact. Key Responsibilities: Lead and mentor a team of data engineers, fostering a culture of innovation and excellence. Architect and implement scalable data solutions using the Azure tech stack and Databricks. Collaborate with cross-functional teams to align data initiatives with business goals. Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed. Requirements: Proven experience in leading data engineering teams. Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks. Comfortable balancing strategic leadership with occasional hands-on technical work. Excellent stakeholder management and communication skills. Benefits: Competitive salary up to 100,000. Opportunity to shape the data landscape of a forward-thinking organisation. Discretionary Bonus. And more.

Head of Data Engineering - Azure & Databricks - Remote - Up to 100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact. Key Responsibilities: Lead and mentor a team of data engineers, fostering a culture of innovation and excellence. Architect and implement scalable data solutions using the Azure tech stack and Databricks. Collaborate with cross-functional teams to align data initiatives with business goals. Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed. Requirements: Proven experience in leading data engineering teams. Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks. Comfortable balancing strategic leadership with occasional hands-on technical work. Excellent stakeholder management and communication skills. Benefits: Competitive salary up to 100,000. Opportunity to shape the data landscape of a forward-thinking organisation. Discretionary Bonus. And more.

Head of Data Engineering - Azure & Databricks - Remote - Up to 100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact. Key Responsibilities: Lead and mentor a team of data engineers, fostering a culture of innovation and excellence. Architect and implement scalable data solutions using the Azure tech stack and Databricks. Collaborate with cross-functional teams to align data initiatives with business goals. Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed. Requirements: Proven experience in leading data engineering teams. Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks. Comfortable balancing strategic leadership with occasional hands-on technical work. Excellent stakeholder management and communication skills. Benefits: Competitive salary up to 100,000. Opportunity to shape the data landscape of a forward-thinking organisation. Discretionary Bonus. And more.

Head of Data Engineering - Azure & Databricks - Remote - Up to 100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact. Key Responsibilities: Lead and mentor a team of data engineers, fostering a culture of innovation and excellence. Architect and implement scalable data solutions using the Azure tech stack and Databricks. Collaborate with cross-functional teams to align data initiatives with business goals. Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed. Requirements: Proven experience in leading data engineering teams. Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks. Comfortable balancing strategic leadership with occasional hands-on technical work. Excellent stakeholder management and communication skills. Benefits: Competitive salary up to 100,000. Opportunity to shape the data landscape of a forward-thinking organisation. Discretionary Bonus. And more.