At a Glance
- Tasks: Migrate data platforms to AWS and develop Terraform code for deployments.
- Company: Join a leading tech firm focused on modernising data solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: 6-month rolling contract with flexible working arrangements.
- Why this job: Be part of a major data transformation project and make a real impact.
- Qualifications: Experience in AWS, Terraform, Python, and data engineering required.
The predicted salary is between 60000 - 80000 £ per year.
Salary: £? - ? per year
Requirements
- Strong AWS cloud platform migration and Terraform expertise.
- In-depth data engineering experience.
- Experience migrating data platforms and data workloads from legacy Databricks environments to modern AWS cloud-based data platforms.
- Strong Terraform and Infrastructure as Code (IaC) skills, including developing and maintaining Terraform code for data platform deployments.
- Experience with Python, PySpark, SQL, data pipeline development, ETL/ELT design, data modelling, data quality, and data validation.
- Experience with AWS services, including S3 and IAM.
- Familiarity with CI/CD concepts, DevOps principles, and Agile delivery.
- Strongly preferred experience in Government, Public Sector, or related domains.
- Strongly preferred experience with Databricks, Palantir Foundry, Foundry Pipeline Builder, Ontology concepts, Delta Lake, Secure Data Environment (SDE), or NHS/Healthcare data.
- Active SC Cleared or fully eligible to undergo the full SC Security Clearance process.
Responsibilities
- Focus on data engineering, cloud platform migration, infrastructure automation, and supporting the delivery of large-scale data processing solutions.
- Support a major data platform modernisation programme, including migration of data pipelines, notebooks, and data workloads from a legacy Databricks environment to modern AWS cloud-based data platforms.
- Develop and maintain Terraform code to support data platform deployments.
- Support deployment of data platform components, jobs, permissions, and environment configurations.
- Analyse current data engineering solutions and identify data migration requirements.
- Onboard datasets, users, and workloads onto the target platform.
Technologies
- AWS
- CI/CD
- Cloud
- Databricks
- DevOps
- ETL
- IAM
- Support
- Python
- PySpark
- SQL
- Security
- Terraform
This is a 6‑month rolling contract based in London, with a hybrid working model of 3‑4 days per week remote and 1‑2 days per week in the office, plus occasional travel to Leeds.
Data Platform Engineer employer: Sivara GmbH
As a Data Platform Engineer with us, you'll join a forward-thinking team dedicated to modernising data solutions within the Government and Public Sector. We offer a collaborative work culture that values innovation and professional growth, alongside a flexible hybrid working model that promotes work-life balance. With opportunities for continuous learning and development in cutting-edge technologies, this role is perfect for those seeking meaningful contributions to impactful projects in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Sivara GmbH before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Sivara GmbH.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Sivara GmbH.
We think you need these skills to ace Data Platform Engineer
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.
