Sagacity

Be a flexible, self-motivated individual with experience of working on a number of projects concurrently, responsible for providing consulting to support both internal and client projects. Understand how project deliverables support our clients 'bigger picture' and / or strategy of a client organisation Being able to contribute to a range of duties and/or tasks required to support client delivery The ability to quickly build a detailed knowledge of Sagacity's product offerings, technologies and industry sectors for the clients you support with a holistic understanding of how they can apply across a range of challenges Effectively managing a client's project scope, ensuring that results are delivered on time and to an exceptional standard Creation of project deliverables, meeting content and meeting outputs targeted to the audience which facilitates effective decision making Being detail orientated, providing quality assurance to deliverables such as reviewing documentation produced and ensuring high quality communication with our clients Adding value to a deliverable where possible, always questioning the 'why, what, when' and 'so what' of project outputs and turning data into actionable insight for our clients Management of stakeholder relationships, project meetings / working groups, steering meetings and Quarterly Business Reviews (where appropriate) with the ability to influence and facilitate effective decision making Identifying roadblocks before they occur and unblocking / turning them into opportunities Using excellent problem-solving skills to develop creative solutions to meet the challenges that our clients face through advanced business analysis Ongoing management of the client programme plan, ensuring that high quality project governance and documentation is in place to support client delivery and that project status reporting is accurate, timely and relevant Identifying and submitting further client development opportunities to the Commercial Product Management, Customer Engagement and Client Services Teams Knowledge and Experience Essential: c.3+ years' experience in Consultancy, Project Management, Business Analysis, Change Management and/or Strategy Have highly competent communication skills, being able to tailor messaging based on the audience including the ability to interact with C-suite stakeholders High competency in applications such as Word, Excel, PowerPoint, Microsoft Project, Outlook, Teams, Jira, Confluence Extremely high competency in time management and organisation skills Extremely high competency and knowledge of delivery approaches such as Waterfall / Agile / Hybrid, including different methodologies within each of these approaches Desirable: Utilities, Financial Services, Telecoms background Proven project management skills (MSP, Prince II) Business analysis skills) PMO experience Coaching / training Personal Profile: An exceptional focus on delivery Ability to learn and adapt quickly Exceptional communication skills (written and verbal Ability to grasp new concepts Team working Flexibility

Are you passionate about data and eager to kickstart your career in data engineering? We're looking for a motivated Junior Data Engineer to join our Service Operations team. This role offers an exciting opportunity to learn, contribute to, and grow within the critical areas of data pipeline development, maintenance, and optimisation for our client-facing products and services. Working closely with experienced developers, data analysts, data scientists, and other stakeholders, you will be instrumental in ensuring the efficient and reliable flow of data, building foundational skills in a supportive environment. Key Responsibilities Data Pipeline Development • Contribute to the design, building, and maintenance of scalable data pipelines • Implement ETL (Extract, Transform, Load) processes to ingest data from various sources • Ensure data quality, integrity, and reliability through thorough testing and validation Database Management • Help manage and optimise data storage solutions (e.g., SQL and NoSQL databases, data lakes) • Monitor and assist in maintaining database performance and security Data Integration: • Collaborate with data analysts and scientists to integrate and consolidate data from multiple sources • Assist in developing APIs and other interfaces for data access and manipulation Documentation and Reporting: • Document data processes, pipelines, and architectures • Generate reports and visualisations to communicate data insights and pipeline performance Technical Support: • Provide technical support for data-related issues and troubleshoot problems as they arise • Assist in the implementation of data governance and compliance policies Continuous Improvement: • Actively learn about and stay up to date with emerging trends and technologies in data engineering • Participate in code reviews and contribute to the continuous improvement of data engineering practices within the team Qualifications, Skills and Experience Educational Background: • Bachelor's degree in computer science, Engineering, Information Technology, or a related field • Relevant certifications in data engineering or cloud platforms (e.g., AWS, Azure, Google Cloud, Databricks) are a strong plus Technical Skills: • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL) • Familiarity with data pipeline and workflow management tools (e.g., Apache Airflow) • Experience with programming languages such as Python, Java, or Scala. Python is highly preferred • Basic understanding of cloud platforms and services (e.g., AWS, Azure, Google Cloud) • Knowledge of big data technologies (e.g., Spark) is a plus Analytical Skills: • Strong problem-solving skills and attention to detail • Ability to analyse data sets and identify patterns or anomalies Soft Skills: • Excellent communication and teamwork skills, with a collaborative mindset. • Eagerness to learn, adapt to new technologies, and grow within the data engineering field. • Ability to manage multiple tasks effectively and meet deadlines. Experience: • 0-2 years of experience in data engineering, data analysis, or a related technical field • Internship, co-op, significant project experience in data engineering or building data pipelines is highly desirable