At a Glance
- Tasks: Design and maintain data pipelines on Google Cloud for exposure data.
- Company: Hyra, a forward-thinking tech company focused on privacy-safe data solutions.
- Benefits: Flexible work with one day on-site, competitive pay, and contract duration of 4-6 months.
- Other info: Collaborate with partners' data teams in a vibrant London-based environment.
- Why this job: Join a dynamic team and work with cutting-edge AI technologies in data engineering.
- Qualifications: Strong skills in Python, SQL, and a passion for data quality.
The predicted salary is between 60750 - 74250 £ per year.
Hyra is seeking a Big Query Data Engineer to design and maintain pipelines on Google Cloud that convert set-top-box viewing feeds into exposure data tables.
You will collaborate with partners' data teams to implement privacy-safe joins in Big Query and Snowflake clean rooms.
The role is London-based with one day per week on-site, offering a 4–6 month contract and Inside IR35 via Umbrella.
A strong focus on Python, SQL and data quality is essential, with an AI-forward mindset for tooling
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AI-Driven BigQuery Data Engineer — Privacy-Safe Pipelines employer: Hyra
Hyra is an excellent employer that values innovation and teamwork, providing a dynamic work environment for Automation Engineers. With a strong focus on employee growth, you will have access to continuous training and development opportunities while working alongside skilled professionals in a collaborative culture. Located in a region known for its technological advancements, Hyra offers unique advantages such as exposure to cutting-edge automated systems and the chance to make a significant impact on logistics operations.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven BigQuery Data Engineer — Privacy-Safe Pipelines
✨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 Hyra 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 Hyra.
✨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 Hyra.
We think you need these skills to ace AI-Driven BigQuery Data Engineer — Privacy-Safe Pipelines
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Hyra, 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 Hyra, 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 Hyra’s attention and show the tangible impact of your work.
How to prepare for a job interview at Hyra
✨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 Hyra.
✨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 Hyra.
✨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 Hyra.
