At a Glance
- Tasks: Design and maintain scalable data pipelines using Azure Databricks.
- Company: Join a market-leading client with exciting project work.
- Benefits: Competitive daily rate, remote work, and flexible contract duration.
- Other info: Opportunity to work in a dynamic environment with strong stakeholder engagement.
- Why this job: Make an impact in a critical project while enhancing your data engineering skills.
- Qualifications: Experience with Azure Databricks, Python, SQL, and data pipeline delivery.
The predicted salary is between 60000 - 80000 £ per year.
Duration: 3 Months
Location: Remote
Rate: £450 - £470 per day DOE
Status: OUTSIDE IR35
Clearance: Eligible for SC
Start Date: ASAP
Summary: My market leading client are looking to secure the services of a contract based Data Engineer to assist with critical project work over the coming months. Ideally coming from a consultancy background with extensive experience working in secure and regulated environments. Experience and knowledge of working in a public sector environment is essential.
Key Responsibilities:
- Strong stakeholder engagement and collaboration.
- Design, build and maintain scalable data pipelines.
- Develop using Azure Databricks (PySpark, Spark SQL, Python).
- Contribute to Lakehouse architecture (Delta Lake patterns, Databricks capabilities).
- Build and manage workflows (Databricks Workflows, Delta Live Tables).
- Implement data governance (Unity Catalog – access, discovery, control).
- Support analytics/reporting using Databricks SQL.
- Ingest and transform API, structured, semi-structured and geospatial data.
- Write clean, testable, maintainable code.
- Contribute to agile delivery (ceremonies, peer reviews, planning).
Key Skills & Experience:
- Strong Data Engineering experience with Azure Databricks.
- Proven delivery of production-grade data pipelines.
- Strong Python, SQL, PySpark and Spark SQL capability.
- Experience with Lakehouse / modern data platform design.
- Hands-on with Databricks tools (Unity Catalog, Workflows, Delta Live Tables, Databricks SQL).
- Data ingestion from APIs and external sources.
- Geospatial data processing experience (real-world use cases).
- Experience with geospatial formats (Shapefile, GeoParquet, GeoPackage, GeoTIFF).
- Knowledge of Apache Sedona or similar frameworks.
- Understanding of data modelling, quality, monitoring and optimisation.
- Experience with version control, CI/CD and cloud environments.
- Strong analytical and problem-solving skills.
If you’d like more information on the assignment, please drop me an email or give me a call.
Data Engineer in Chelmsford employer: Identify Solutions
Join a market-leading consultancy that values innovation and collaboration, offering a dynamic remote work environment for Data Engineers. With a strong focus on employee growth, you will have the opportunity to work on critical projects in secure public sector environments, utilising cutting-edge technologies like Azure Databricks. Our culture promotes agile delivery and continuous learning, making it an excellent place for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Chelmsford
✨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 Identify Solutions 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 Identify Solutions.
✨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 Identify Solutions.
We think you need these skills to ace Data Engineer in Chelmsford
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Identify Solutions, 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 Identify Solutions, 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 Identify Solutions’s attention and show the tangible impact of your work.
How to prepare for a job interview at Identify Solutions
✨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 Identify Solutions.
✨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 Identify Solutions.
✨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 Identify Solutions.
