At a Glance
- Tasks: Design and optimise data pipelines while enhancing Business Intelligence capabilities.
- Company: Trusted public sector organisation impacting millions in the UK.
- Benefits: Competitive salary, hybrid work model, and opportunity for contract extension.
- Other info: Collaborative team culture focused on innovation and process improvement.
- Why this job: Shape the future of data solutions and AI capabilities in a dynamic environment.
- Qualifications: 4–8+ years in Data Engineering with strong AWS and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Salary: £? - ? per year
Requirements
- 4–8+ years of experience in Data Engineering, Business Intelligence, or related roles.
- Strong hands‑on experience with AWS data solutions and engineering tools such as Glue, S3, Lambda, Redshift, and Athena.
- Advanced SQL skills.
- Strong Python skills for data processing and pipeline development.
- Exposure to infrastructure and tooling such as Terraform, APIs, and CI/CD.
- Practical exposure to AI/ML concepts, tools, or workflows.
- Experience with cloud‑based AI services such as AWS Bedrock or similar.
- Exposure to AI‑enabled data products, generative AI, prompt engineering, or ML pipelines.
- Experience contributing to data lake builds or modern data platforms is preferred.
- Experience working in complex, regulated, or public sector environments is preferred.
- Exposure to Data Ops and CI/CD practices is preferred.
- BPSS clearance is essential.
Responsibilities
- Design, build, and optimise data pipelines and data platform components within AWS.
- Support and enhance Business Intelligence reporting and analytics capabilities.
- Contribute to the development of a data lake and modern data architecture.
- Work across both BAU support and new capability development.
- Support delivery across Business Intelligence, data engineering, data platform, and AI initiatives.
- Collaborate with wider teams on AI‑related initiatives and roadmap delivery.
- Apply best practices around data quality, governance, and performance optimisation.
- Work closely with technical and business teams to deliver high‑quality data solutions.
- Identify opportunities to improve processes, automation, tooling, and platform performance.
- Bridge the gap between data engineering and emerging AI use cases.
Technologies
- AI
- AWS
- Lambda
- Redshift
- Business Intelligence
- CI/CD
- Cloud
- Support
- Python
- SQL
- Terraform
We are a trusted public sector organisation that helps millions of people in the UK with funding investment. We are investing heavily in our data platform and future AI capabilities, and this role offers the opportunity to shape both current Business Intelligence delivery and next‑generation data solutions. This is a 3‑month contract, likely to extend, based in Swindon or London with a hybrid arrangement of once per month onsite. The role is inside IR35, offers an ASAP start, and is suited to someone who can combine strong AWS data engineering and Business Intelligence experience with practical AI/ML exposure. We are seeking a proactive, collaborative, and delivery‑focused professional to help us build modern data capabilities in a developing and evolving environment.
Business Intelligence Data Engineer in Swindon employer: Sivara GmbH
As a trusted public sector organisation, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact. With significant investments in our data platform and AI capabilities, we offer exceptional growth opportunities for professionals looking to advance their careers in a dynamic environment. Our hybrid working model allows for flexibility while being part of a team dedicated to enhancing Business Intelligence and data solutions for millions across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Data Engineer in Swindon
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We think you need these skills to ace Business Intelligence Data Engineer in Swindon
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sivara GmbH, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Sivara GmbH, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Sivara GmbH’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sivara GmbH
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Sivara GmbH.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Sivara GmbH.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Sivara GmbH.
