At a Glance
- Tasks: Design and build scalable data pipelines while solving complex technical challenges.
- Company: Leading organisation transforming its data and AI capabilities.
- Benefits: Competitive pay, hybrid work model, and a chance to work on innovative projects.
- Other info: Dynamic environment with opportunities for professional growth and collaboration.
- Why this job: Join a growing team and make a real impact in the data engineering field.
- Qualifications: Strong Python and SQL skills, with experience in ETL/ELT pipelines.
The predicted salary is between 60000 - 60000 £ per year.
We're partnering with a leading organisation undergoing a major transformation of its data and AI capabilities. They are looking for an experienced Data Engineer to join a growing engineering team building strategic data solutions that support business-critical functions across trading, analytics and commercial operations.
This is a hands-on engineering role where you'll design and build scalable data pipelines, solve complex technical challenges, and help evolve an enterprise data platform using modern open-source technologies.
What you'll be doing:
- Designing, building and maintaining data ingestion pipelines and ETL/ELT workflows
- Developing robust data engineering solutions using Python and SQL
- Building scalable data pipelines that support multiple business functions
- Working closely with technical and business stakeholders to deliver strategic solutions
- Solving complex engineering challenges and taking ownership from design through to delivery
- Contributing to the evolution of a modern on-premise data platform
Skills:
- Excellent Python and SQL skills
- Experience building ETL/ELT pipelines and data ingestion frameworks
- Strong understanding of data architecture and data movement between systems
- Experience with modern data engineering tools and frameworks
- Extensive experience working closely with business stakeholders
- Experience with Apache Spark and Databricks is desirable
- Experience in Financial services, commodities or another fast-paced commercial environment is highly advantageous
- Exposure to AI technologies such as LangChain, agentic AI or open-source LLMs is beneficial
Suitable candidates will be contacted within 24 hours.
Data Engineer - TWE46529 employer: twentyAI
At twentyAI, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our commitment to employee growth is evident through our focus on professional development, particularly for newly qualified accountants eager to enhance their skills in a cutting-edge environment centred around AI and finance transformation. Located in a vibrant area, we offer unique opportunities to engage in meaningful projects that not only advance your career but also contribute to the evolution of finance processes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - TWE46529
✨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 twentyAI 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 twentyAI.
✨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 twentyAI.
We think you need these skills to ace Data Engineer - TWE46529
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at twentyAI, 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 twentyAI, 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 twentyAI’s attention and show the tangible impact of your work.
How to prepare for a job interview at twentyAI
✨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 twentyAI.
✨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 twentyAI.
✨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 twentyAI.
