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For Companies At a Glance
- Tasks: Design and deliver high-performing data pipelines for smarter decision-making.
- Company: Join a forward-thinking data environment at Retelligence.
- Benefits: Competitive daily rate, hybrid working, and access to cutting-edge tools.
- Why this job: Make a real impact in a collaborative culture with ownership over your work.
- Qualifications: Advanced SQL, Python skills, and experience with GCP tools required.
- Other info: Enjoy a dynamic role with opportunities for innovation and growth.
Salary Range: £500–£550 per day (Outside IR35)
Location / Working model: London | Hybrid (3 days on-site)
Join a forward‑thinking data environment where innovation meets scale. You’ll take ownership of designing and delivering high‑performing data pipelines that enable smarter decisions across the organization. This contract offers autonomy, modern tools, and a platform to make real impact, ideal for a seasoned engineer who enjoys solving end‑to‑end challenges in the cloud. The Senior Data Engineer (Contract) will architect, build, and maintain robust data solutions within a Google Cloud Platform ecosystem.
Role Highlights
- Design and deliver scalable ETL and ELT pipelines using SQL and Python
- Build and optimize data architectures in Google Cloud Platform (GCP)
- Partner with analysts, product owners, and developers to ensure reliable data delivery
- Champion best practices for governance, lineage, and performance
- Enhance data observability and automate key workflows for efficiency
You Will Need
- Advanced hands‑on experience with SQL, Python, and core GCP tools (BigQuery, Dataflow, Pub/Sub, Composer or similar)
- Proven background in full‑life‑cycle data engineering and automation
- Strong understanding of CI/CD and infrastructure‑as‑code for data systems
- Experience with both batch and streaming data
- Excellent communication and problem‑solving skills in agile environments
Why You’ll Love It
- Hybrid working: 3 days per week in central London
- Access to a cutting‑edge GCP environment
- Real ownership over technical design and delivery
- Inclusive, collaborative culture that values technical excellence
Seniority level: Mid‑Senior level
Employment type: Contract
Industry: Staffing and Recruiting
Senior Data Engineer employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Don’t just sit back and wait for the job to come to you! Slide into the DMs of the job poster on LinkedIn or wherever you can find them. A friendly message expressing your interest can really make you stand out from the crowd.
✨Tip Number 2
Network like a pro! Reach out to current employees at Retelligence or similar companies. Ask about their experiences and any tips they might have. You never know, a referral could be your golden ticket!
✨Tip Number 3
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your SQL and Python prowess, share it. Real-world examples of your work can speak volumes more than just words on a CV.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us. Let’s get you in for an interview!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and GCP tools. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Senior Data Engineer role. Share your passion for data engineering and how you’ve tackled end-to-end challenges in the cloud.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've solved complex problems or improved processes. We love seeing how you think and approach challenges, especially in agile environments!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our forward-thinking data environment!
How to prepare for a job interview at Retelligence
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and GCP tools like BigQuery and Dataflow. Be ready to discuss your hands-on experience and how you've used these technologies in past projects. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about end-to-end challenges you've faced in data engineering. Think of a couple of scenarios where you had to troubleshoot or optimise a data pipeline. This will demonstrate your ability to think critically and solve problems effectively.
✨Understand the Company’s Data Needs
Research Retelligence and their data environment. Understand their goals and how your role as a Senior Data Engineer can help them achieve smarter decisions. Tailoring your answers to align with their objectives will show that you're genuinely interested in the position.
✨Communicate Clearly and Confidently
Since you'll be partnering with analysts and product owners, strong communication is key. Practice explaining complex technical concepts in simple terms. This will not only showcase your expertise but also your ability to collaborate effectively in an agile environment.
