At a Glance
- Tasks: Lead the migration to Databricks and optimise data engineering practices.
- Company: Dynamic Bristol-based organisation undergoing a major data transformation.
- Benefits: Competitive daily rate, flexible hybrid working, and hands-on leadership experience.
- Other info: Initial 3-5 month contract with excellent opportunities for professional growth.
- Why this job: Make a real impact on data solutions while mentoring fellow engineers.
- Qualifications: Strong skills in Databricks, Spark, SQL, Python, and cloud-based data platforms.
Outside IR35 - 3-5 month contract - 2-3 days per week in Bristol.
Lead the technical delivery of a Databricks migration and wider data platform transformation. This is a hands-on role focused on Databricks, Spark, Python and SQL, with some mentoring responsibilities.
We're looking for an experienced Data Engineering Lead to join a Bristol-based organisation during a major data transformation programme.
What you'll be doing:
- This is a hands-on contract focused on helping deliver a migration to Databricks, improving data engineering practices and supporting the wider evolution of the data platform.
- You'll work closely with Data Engineers, Data Scientists and technical stakeholders to design, build and optimise scalable data solutions.
- While there will be opportunities to mentor and support engineers, this role is primarily focused on technical leadership and delivery during this interim role.
- You'll help drive the Databricks migration, build and optimise data pipelines, improve platform performance and establish engineering best practices across the team.
- Working closely with stakeholders across technology and the business, you'll play a key role in delivering reliable, scalable data solutions and supporting wider transformation initiatives.
What experience you'll need:
- Excellent experience with Databricks.
- Strong Spark experience.
- Strong SQL and Python skills.
- Experience building modern cloud-based data platforms.
- Strong understanding of data modelling and engineering best practices.
- Experience delivering migration, modernisation or transformation projects.
- Comfortable providing technical leadership and mentoring engineers.
- Experience working in Agile environments.
The Details:
This is an initial 3-5 month contract paying £600-650 per day, operating Outside IR35. The team works on a hybrid basis with 2-3 days per week in the Bristol office, close to Temple Meads.
What's next? Please apply and we'll arrange a call if it's a good fit!
Data Engineering Lead in Bristol employer: ADLIB Careers
As a Tech Support Engineer, you'll thrive in a dynamic environment that prioritises employee growth and development. With a strong focus on mentorship and collaboration, our supportive team culture encourages you to take ownership of complex technical challenges while enhancing your skills through ongoing training opportunities. Located in vibrant Bristol or London, this role not only offers the chance to make a significant impact but also provides a unique work-life balance with flexible office days.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead in Bristol
✨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 ADLIB Careers 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.
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We think you need these skills to ace Data Engineering Lead in Bristol
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at ADLIB Careers, 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 ADLIB Careers, 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 ADLIB Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at ADLIB Careers
✨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 ADLIB Careers.
✨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 ADLIB Careers.
✨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 ADLIB Careers.
