At a Glance
- Tasks: Build and optimise BigQuery pipelines to transform data into actionable insights.
- Company: Leading tech firm focused on innovative data solutions.
- Benefits: Competitive day rate, flexible working, and opportunities for skill enhancement.
- Other info: Collaborative environment with potential for career advancement.
- Why this job: Join a cutting-edge team and work with AI-driven data engineering projects.
- Qualifications: Experience in Python, SQL, BigQuery, and GCP; familiarity with Snowflake is a bonus.
The predicted salary is between 51750 - 63250 £ per year.
- Big Query Data Engineer
- Market Day Rate - Inside IR35 via Umbrella
- Location: 1 day per week in London (Candidates must be UK based and state their location)
- Duration: 4 - 6 months
- Role -
- Linear exposure data: Big Query pipelines on Google Cloud that turn set-top-box viewing feeds into exposure tables, including one that's half built and needs finishing.
- Privacy-safe joins between that exposure data and pertness outcome data (card spending, web visits), in Big Query and Snowflake clean rooms.
- Working directly with partners' data teams.
Experience -
- Solid hands-on data engineering: Python, SQL, Big Query and GCP pipelines.
- Snowflake and clean rooms or other privacy-safe joins would be a real plus.
- AI-oriented. They'll work day to day with coding agents (Claude Code and similar) and should want to, not just tolerate it.
- Interested in the data itself, not just moving it from A to B.
- #J-18808-Ljbffr
BigQuery Data Engineer employer: TXP
At TXP, we are committed to creating a dynamic and inclusive work environment where our employees can thrive. As a Senior Data Business Analyst in Birmingham, you will not only engage in meaningful projects within the pensions and insurance sectors but also benefit from our strong focus on professional development and social responsibility. Join us to be part of a team that values diversity, fosters growth, and makes a positive impact in the community.
StudySmarter Expert Advice🤫
We think this is how you could land BigQuery Data 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 TXP 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 TXP.
✨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 TXP.
We think you need these skills to ace BigQuery Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at TXP, 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 TXP, 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 TXP’s attention and show the tangible impact of your work.
How to prepare for a job interview at TXP
✨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 TXP.
✨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 TXP.
✨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 TXP.
