At a Glance
- Tasks: Design and maintain cloud-based data platforms that drive business decisions.
- Company: Fast-growing InsureTech company with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with mentorship opportunities and a focus on data quality.
- Why this job: Join a high-impact team and shape the future of data solutions.
- Qualifications: Advanced SQL skills and experience with ETL processes required.
The predicted salary is between 60000 - 80000 £ per year.
I'm currently partnered with a fast-growing InsureTech business that is evolving its internal data platform and looking to hire a Staff Data Engineer into a small, high-impact team. This is a broad and genuinely technical role sitting at the heart of the data function responsible for the design, build and maintenance of a cloud-based data platform that directly supports commercial decision-making across the business. You'd have real ownership from day one, working closely with analysts across Marketing, Product, Pricing and Underwriting to translate business needs into scalable, reliable data solutions. The environment suits someone who enjoys building and optimising data infrastructure, takes pride in data quality, and wants to be part of a platform that is actively evolving including a move to Google BigQuery starting in 2026.
What you'll be doing:
- Designing, developing and maintaining robust data pipelines and ETL/ELT processes
- Building and managing performant data models to support analytical capability across the business
- Leading performance monitoring, tuning and internal platform improvement initiatives
- Leveraging cloud-based infrastructure to build scalable, high-availability data solutions
- Collaborating closely with analysts and business stakeholders to turn data requirements into effective solutions
- Ensuring data quality and accuracy with rigour and consistency
- Mentoring and guiding junior data engineers, providing technical oversight and expertise
Tech stack includes: SQL, dbt, Fivetran, Google Cloud Dataflow, BigQuery, Azure Data Factory, Databricks, GCP, Azure, Python, Git, Power BI / Tableau / Qlik.
What they're looking for:
- Advanced SQL proficiency including complex queries, indexing and optimisation
- Strong experience with ETL tooling and ELT processes
- Solid understanding of data warehousing and dimensional modelling
- Hands-on cloud experience across GCP, Azure or AWS
- Familiarity with version control and DevOps practices
- Python knowledge is beneficial but not essential
- Comfortable working in an agile, fast-paced environment
GCP Staff Data Engineer in Slough employer: Arrows
Join a dynamic InsureTech company that prioritises innovation and collaboration, offering you the chance to make a significant impact from day one. With a strong focus on employee growth, you'll have opportunities to mentor junior engineers while working in a supportive environment that values data quality and infrastructure optimisation. Located in a fast-paced sector, this role provides a unique opportunity to be at the forefront of evolving data solutions, including an exciting transition to Google BigQuery in 2026.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Staff Data Engineer in Slough
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Arrows.
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We think you need these skills to ace GCP Staff Data Engineer in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Arrows, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Arrows. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Arrows
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Arrows!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
