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- Tasks: Design and build resilient data platforms for impactful programmes.
- Company: A growing digital transformation consultancy making the UK smarter and greener.
- Benefits: Hybrid work, competitive salary, and opportunities for mentorship and growth.
- Other info: Collaborative environment with a focus on innovation and professional development.
- Why this job: Join a mission-driven team and shape solutions that matter to society.
- Qualifications: 5+ years in data engineering with strong Python and SQL skills.
The predicted salary is between 36000 - 60000 ÂŁ per year.
This client builds mission‑critical digital platforms that make the UK smarter, safer, greener and healthier. They are a growing digital transformation consultancy delivering enterprise‑scale data services across public and regulated sectors — civil defence, healthcare, environment and land asset management.
This is a hands‑on Senior Data Engineer role where you’ll design, build and operate resilient data platforms and pipelines for high‑profile, societally important programmes. You’ll work in multi‑disciplinary teams, influence technical direction, and help shape solutions that are secure, observable and production‑ready.
ROLE: Senior Data Engineer
You’ll be responsible for delivering end‑to‑end data services on greenfield and transformation programmes. Expect to own core components of platforms, collaborate with data scientists, delivery leads, and mentor more junior engineers.
- Design and implement scalable ETL/ELT pipelines and data models for enterprise platforms
- Implement data quality, testing and validation as first‑class concerns across pipelines
- Deliver monitoring and observability (Prometheus, Grafana or equivalent) and runbook automation
- Work with relational (Postgres/SQL Server) and NoSQL stores; Translate technical designs into robust implementations and clear documentation for stakeholders
5+ years in data engineering building production‑grade data platforms
- Strong Python and SQL skills; experience with cloud data services (AWS/Azure/GCP)
- Proven track record implementing data quality, monitoring and observability practices
- Comfortable designing data architecture patterns (data lakes, warehouses, event‑driven systems)
- Experience working in Agile teams, stakeholder engagement and technical mentorship
Apply now to help shape resilient data platforms that power public‑facing services.
Senior Engineer, Data Engineering in Manchester employer: Loop Recruitment
Contact Detail:
Loop Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in digital transformation consultancies. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, cloud services, and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with ETL/ELT processes, data quality practices, and observability tools. We want to see how you can contribute to building resilient data platforms!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our mission of making the UK smarter and safer.
We think you need these skills to ace Senior Engineer, Data Engineering in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your Python, SQL, and cloud experience, and don’t forget to mention any hands-on work with data platforms and pipelines.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how your background aligns with our mission. Share specific examples of projects where you’ve designed and implemented scalable ETL/ELT pipelines.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! Include details about your experience with tools like Kafka, Airflow, and observability practices. We want to see how you’ve applied these in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Loop Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, AWS, and PostgreSQL. Brush up on your knowledge of Kafka and Airflow too, as they might come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and built data platforms or pipelines. Highlight your role, the challenges you faced, and how you ensured data quality and observability. Real-world examples will make you stand out!
✨Understand Their Mission
Research the company’s mission to build smarter, safer, and greener platforms. Be ready to explain how your skills can contribute to their goals, especially in sectors like healthcare and civil defence. This shows you’re not just looking for a job, but are genuinely interested in their work.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects, team dynamics, and how they approach data quality and monitoring. This not only shows your interest but also helps you gauge if the company is the right fit for you.