Jobgether
Senior Data Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title: Senior Data Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in United Kingdom.
As a Senior Data Engineer, you will play a pivotal role in shaping and scaling a modern data ecosystem that supports product innovation, analytics, and intelligent user experiences. This position offers the opportunity to own the end-to-end data platform, from warehouse architecture and transformation layers to production-grade pipelines and infrastructure. Working within a collaborative engineering environment, you will partner closely with product and backend teams to ensure data quality and reliability are embedded directly at the source. The role is highly impactful, combining deep technical expertise with strategic product thinking in a fast-paced, mission-driven setting. It is ideal for professionals who enjoy solving complex challenges, reducing technical debt, and building scalable systems that drive meaningful outcomes.
Accountabilities
- Own and continuously enhance the company’s data platform, including data warehouse architecture, modelling strategies, and transformation frameworks.
- Design, build, and maintain scalable production data pipelines using modern cloud technologies and engineering best practices.
- Refactor and improve critical data flows to reduce technical debt, strengthen system integrity, and increase platform reliability.
- Collaborate closely with backend engineers to ensure data is generated, structured, and exposed correctly at the source.
- Partner with product and engineering stakeholders to enable data-driven features, telemetry, instrumentation, and customer-focused outcomes.
- Implement observability, testing, and monitoring processes to ensure robust and dependable data operations.
- Contribute to backend initiatives where data engineering and product development intersect, acting as an embedded engineering partner rather than a standalone analytics function.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Minimum of 5 years of experience in data engineering roles, ideally gained within B2B SaaS companies or product-led startup environments.
- Strong proficiency in Python and SQL, with the ability to apply both languages to complex engineering and data challenges.
- Proven experience building, deploying, and operating production data pipelines on AWS.
- Hands-on expertise with modern data warehouse technologies such as Snowflake, BigQuery, Databricks, or Redshift.
- Experience using DBT or similar data transformation frameworks.
- Solid understanding of backend engineering principles, with the ability to review and contribute to application code when required.
- Comfortable taking ownership of projects end-to-end within dynamic, fast-growing teams.
- Strong communication, collaboration, and problem-solving skills, combined with a product-oriented mindset.
Benefits
- Competitive salary package and equity participation opportunities.
- 25 days of annual leave in addition to public holidays.
- Pension contribution scheme.
- Fully equipped home-office and hardware setup from day one.
- Regular company offsites and social events.
- Flat organizational structure with transparent communication and direct access to leadership.
- Inclusive and collaborative working culture that values diversity, innovation, and individual perspectives.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location