At a Glance
- Tasks: Design and maintain data pipelines that drive analytics and business decisions.
- Company: Join a forward-thinking company shaping the future of data strategy.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by transforming data into actionable insights for the business.
- Qualifications: 5+ years in BI/Data engineering with strong Python and SQL skills.
The predicted salary is between 60000 - 75000 £ per year.
As a Senior BI Engineer, you will play a critical role in shaping and driving the data strategy that powers our analytics, products, and commercial decision‑making. You will build and maintain robust data infrastructure, and act as the bridge between technical delivery and business outcomes, ensuring that our data capabilities align with commercial priorities. The role is a hands‑on lead level position where you will own data pipelines end‑to‑end—from ingesting raw data from multiple sources to transforming and delivering analytics‑ready datasets.
How To Make An Impact
- Design, build, and maintain end‑to‑end data pipelines, including ingestion, transformation, and delivery of data to analytics and reporting layers.
- Own and improve existing data pipelines, ensuring high reliability, performance, and scalability.
- Set up new pipelines for internal and external data sources, selecting appropriate tools and patterns.
- Monitor data quality, accuracy, and pipeline health, proactively identifying and resolving issues to ensure high data trust and uptime.
- Implement best practices for BI engineering, including testing, documentation, version control, and observability.
- Continuously improve data architecture and workflows to support growing data volumes and evolving business needs.
- Partner with commercial, product, and operational stakeholders to understand their data needs, translating business questions into well‑scoped BI engineering work.
- Help shape and prioritise the BI engineering backlog, balancing technical improvements with high‑impact business requests.
- Define and communicate the data scope for new initiatives, providing clear assessments of feasibility, effort, and expected value.
Your Background
- 5+ years of experience in a BI / Data engineering role, with at least 2 years operating in a lead or senior capacity where you've influenced priorities beyond your immediate team.
- Strong Python skills, with experience building ELT/ETL pipelines.
- Strong SQL skills, with experience building and optimizing complex transformations.
- Experience developing data pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools).
- A degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience).
- Solid understanding of data modelling concepts and analytics‑ready schemas.
- Demonstrated experience managing relationships with business stakeholders, including scoping data requirements, setting expectations, and delivering against commercial priorities.
- Commercially minded: you understand how data supports revenue, operations, and strategic goals, and you use that understanding to guide where you invest your effort.
- Strong communication skills, with the ability to explain technical concepts and trade‑offs to non‑technical audiences.
Location: This role is hybrid, based in London (SE1), requiring 3 days in the office per week and 2 days from home.
Senior BI Engineer employer: Arrive
As a Senior BI Engineer at our company, you will thrive in a dynamic and collaborative work culture that values innovation and employee growth. With a hybrid working model based in London, you will enjoy the flexibility of remote work while being part of a vibrant team that prioritises professional development and impactful contributions to our data strategy. We offer competitive benefits and a supportive environment where your expertise will directly influence our commercial success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior BI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior BI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. We recommend including case studies that highlight your problem-solving abilities and how you've influenced business outcomes. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with ELT/ETL frameworks. We suggest practising common BI engineering scenarios so you can demonstrate your hands-on expertise during the interview.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We believe this shows your enthusiasm for the role and helps build a positive rapport with the hiring team.
We think you need these skills to ace Senior BI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Senior BI Engineer role. Highlight your experience with data pipelines, Python, and SQL, and don’t forget to mention any leadership roles you've had. We want to see how you’ve influenced priorities and driven results!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about BI engineering and how your skills align with our data strategy. Share specific examples of how you've tackled challenges in previous roles—this will help us see your problem-solving skills in action.
Showcase Your Technical Skills:When filling out your application, be sure to highlight your technical expertise. Mention the tools and frameworks you’ve used for building ELT/ETL pipelines and any experience with cloud data warehouses. We love seeing candidates who are hands-on and know their stuff!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to upload your tailored CV and cover letter directly. Plus, it helps us keep track of your application more efficiently!
How to prepare for a job interview at Arrive
✨Know Your Data Inside Out
As a Senior BI Engineer, you'll need to demonstrate your deep understanding of data pipelines and analytics. Brush up on your experience with ELT/ETL processes and be ready to discuss specific projects where you've built or optimised data pipelines. This will show that you can not only talk the talk but also walk the walk.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled data quality issues or improved pipeline performance in the past. Think about challenges you've faced and how you resolved them, as this will highlight your proactive approach and ability to maintain high data trust and uptime.
✨Communicate Like a Pro
Since you'll be acting as a bridge between technical delivery and business outcomes, practice explaining complex technical concepts in simple terms. Be ready to discuss how you've managed relationships with stakeholders and translated their needs into actionable BI engineering work.
✨Align with Commercial Priorities
Understand the company's commercial goals and be prepared to discuss how your data strategies can support these objectives. Show that you're not just technically savvy but also commercially minded, and that you can prioritise tasks that deliver high impact for the business.
