At a Glance
- Tasks: Design and build resilient data platforms for impactful digital transformation projects.
- Company: Dynamic digital transformation consultancy making the UK smarter and greener.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and agile teams.
- Why this job: Join a mission-driven team and influence critical data solutions for society.
- Qualifications: 5+ years in data engineering with strong Python and SQL skills.
The predicted salary is between 60000 - 70000 € 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 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.
What You’ll Be Doing- Design and implement scalable ETL/ELT pipelines and data models for enterprise platforms
- Build and operate event‑driven architectures (Kafka) and orchestrate workflows (Airflow)
- 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; implement metadata and standards (geospatial metadata experience desirable)
- Translate technical designs into robust implementations and clear documentation for stakeholders
- Mentor colleagues and contribute to continuous improvement and best practices
- 5+ years in data engineering building production‑grade data platforms
- Strong Python and SQL skills; experience with cloud data services (AWS/Azure/GCP)
- Hands‑on Kafka (or equivalent streaming) and workflow orchestration (Airflow) experience
- 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 Data Engineer in Maidstone employer: Loop Recruitment
Join a forward-thinking digital transformation consultancy in Manchester, where your role as a Senior Data Engineer will not only challenge you technically but also allow you to contribute to projects that enhance public services. With a strong emphasis on employee growth, collaborative work culture, and a commitment to innovation, this company offers competitive salaries and benefits, alongside opportunities for mentorship and professional development in a hybrid working environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Maidstone
✨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 land you that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Kafka, and cloud services. We recommend sharing this on platforms like GitHub or even your own website to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We suggest doing mock interviews with friends or using online resources to practice common questions related to data engineering and team collaboration.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Maidstone
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, cloud services, and data engineering experience to show us you’re the perfect fit!
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 your work with ETL pipelines or event-driven architectures to grab our attention.
Showcase Your Projects:If you've worked on any relevant projects, don’t hesitate to include them! Whether it’s a personal project or something from your previous job, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Loop Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Kafka, and Airflow. Brush up on your cloud services knowledge (AWS, Azure, GCP) and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This role is all about building resilient data platforms, so demonstrating your ability to troubleshoot and innovate will impress the interviewers.
✨Understand the Company’s Mission
Research the consultancy's focus on digital transformation and societal impact. Be ready to discuss how your work as a Senior Data Engineer can contribute to making the UK smarter, safer, and greener. This shows you’re not just looking for a job, but are genuinely interested in their mission.
✨Be Ready to Mentor
Since mentoring junior engineers is part of the role, think about your past experiences in guiding others. Prepare to talk about how you’ve helped colleagues grow and how you plan to foster a collaborative environment in your new team.
