Senior Data Engineer – £47k-£68k – Hybrid (3 days a week in Sunderland)
Some companies treat data as an afterthought.
This one puts data at the heart of every decision.
This company invests heavily in data and AI to drive innovation across its platform. They’re building a cutting-edge, industry-standard data platform that will shape the future of their business.
They need a Data Engineer to help bring this to life.
You’ll work in a highly skilled team, designing and deploying AWS-based data solutions using Redshift, Glue, and dbt, orchestrated with Apache Airflow.
You won’t just be moving data; you’ll also be building scalable pipelines and models that support real-time decision-making and drive business strategy.
Why this role?
🚀 Work on a cutting-edge data stack – AWS, Redshift, dbt, Glue, and Airflow.
💡 Join a high-impact team – Own and shape a new data platform.
🔎 Get deep into cloud data engineering – SQL, Python, ETL, and data modeling.
🏆 Fast-track your career – A clear path to Senior Data Engineer with structured progression.
Perks & Benefits
💰 Quarterly bonus – Up to 10% of salary (and it consistently pays out).
🕒 Flexible working – Start as late as 9:30 am or finish as early as 4:00 pm.
🍽 Free breakfast + lunch – Fuel up for the day.
🎟 Conference budget – Travel to global events (Vegas last year!).
💻 Tech perks – Buy your own office equipment, and after three years, it’s yours.
🏢 Great office culture – A no-ego, modern, and forward-thinking workplace.
What you’ll be doing
🔹 Designing and deploying scalable data pipelines in AWS.
🔹 Building ETL workflows using Glue, Redshift, and dbt.
🔹 Optimizing SQL queries and data models for performance.
🔹 Working in an agile team to develop a next-gen data platform.
🔹 Collaborating with engineers and analysts to support data-driven decisions.
Who you’ll be working with
🔹 A small but highly skilled data team – Learn from and contribute to a tight-knit group of engineers.
🔹 Leadership that values data – Direct exposure to decision-makers championing your work.
🔹 Colleagues who push boundaries – A proactive, problem-solving team with a strong culture.
Who should apply?
✅ Data Engineers, BI Developers, or Data Specialists with at least 2 years of experience.
✅ Experience in AWS, Azure, or GCP (AWS preferred).
✅ Strong SQL and Python skills for data modeling and pipeline development.
✅ Hands-on experience with ETL tools and orchestration frameworks.
✅ Comfortable working in a collaborative, fast-paced environment.
What’s next?
📩 Apply now or book a call: https://calendly.com/tomhainton/discuss-data-engineer-role