At a Glance
- Tasks: Lead the data engineering team and modernise analytics processes using dbt.
- Company: A renowned consumer tech company impacting millions globally.
- Benefits: £90,000 salary, 25 days holiday, private health cover, and early Friday finishes.
- Other info: Hybrid role with great career growth and mentoring opportunities.
- Why this job: Be a technical leader and shape the future of data engineering.
- Qualifications: Strong dbt experience, excellent SQL skills, and cloud platform knowledge.
The predicted salary is between 50000 - 60000 £ per year.
Hybrid, London
About the company
Our client is a well-known consumer technology business with a platform used by millions of people. The data team is part way through a big modernisation programme. They are rebuilding the warehouse and moving from an older ETL tool onto dbt and a modern stack.
About the role
This is a new position and the first technical lead in the data engineering team. The team is small and learning dbt as they go, so they need someone who knows it inside out and can bring everyone else up to speed. You will own the dbt models and the semantic layer, decide how things get built, and coach the rest of the team, from experienced engineers through to analysts who have never touched dbt. Beyond the dbt work stream, you will also be the day-to-day technical owner of the warehouse, reviewing designs and code across the team and working closely with the analytics, data science and platform teams. You will report to the Head of Data Engineering, who sets the overall direction. Your job is working out how to deliver it technically.
What you will be doing
- Owning the dbt models, semantic layer and warehouse design
- Leading the move away from legacy ETL onto dbt
- Setting standards for testing, documentation and CI/CD
- Coaching engineers and analysts on modern engineering practice
- Building out data quality checks and monitoring
- Taking on the hardest technical problems when the team gets stuck
What we need from you
- Strong dbt experience covering both data engineering and analytics engineering
- Excellent SQL and solid dimensional modelling
- Hands-on cloud data platform experience, ideally AWS or BigQuery
- Experience with orchestration tools like Airflow
- Experience of moving off legacy ETL platforms such as Talend
- Familiarity with tools like Fivetran and Tableau
- Clear communication. You can explain technical work in plain terms to engineers and to people across the business
- Comfortable when priorities shift, and someone who enjoys mentoring
Salary and benefits
- £90,000 per year
- 25 days holiday plus bank holidays, rising with service
- Private health and dental cover
- Early finish on Fridays
- Enhanced Parental Leave, pension and money towards your home office setup
Location
On site: 2 days per week, London
How to apply
Apply here or message me directly. I will share full role details with shortlisted candidates.
Lead Analytics Engineer in Slough employer: DMCG Global
Join a fast-growing AI company in London that is at the forefront of applying reinforcement learning to real-world challenges. With a strong focus on sustainability and innovation, you'll be part of a collaborative work culture that values both research and practical engineering, offering ample opportunities for professional growth and development. Enjoy the benefits of a hybrid work model while contributing to impactful projects that shape the future of AI in operational environments.
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