Senior Data Engineer

Senior Data Engineer

Full-Time 72000 - 100000 ÂŁ / year (est.) No home office possible
Loop Recruitment

At a Glance

  • Tasks: Architect world-class data infrastructure and drive innovation in a fast-growing SaaS company.
  • Company: Join Loop Recruitment, a dynamic SaaS scale-up with big ambitions.
  • Benefits: Earn up to ÂŁ100,000 plus private health and an 8% pension.
  • Why this job: Shape impactful products and be a key player in data-driven innovation.
  • Qualifications: 2+ years as a Senior/Lead Data Engineer with expertise in SQL and Python.
  • Other info: Thriving environment with opportunities for professional growth and development.

The predicted salary is between 72000 - 100000 ÂŁ per year.

Senior Data Engineer | Manchester (Hybrid) | Digital Transformation Consultancy Location : Manchester (Hybrid – 3 days a week) Package : £60k-£70k + Benefits Python | Cloud (AWS/Azure/GCP) | Kafka | Airflow | PostgreSQL | Observability 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. 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 What You’ll Bring 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 employer: Loop Recruitment

At Loop Recruitment, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Data Engineer, you'll enjoy a competitive salary of up to ÂŁ100,000, alongside flexible benefits including private health and an 8% pension contribution. Join our fast-growing SaaS scale-up where your contributions will directly impact global customers and where ample opportunities for professional growth and development await you.
Loop Recruitment

Contact Detail:

Loop Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL, Python, and cloud environments. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you've tackled complex problems in the past—this is your chance to shine!

✨Tip Number 4

Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.

We think you need these skills to ace Senior Data Engineer

SQL
Python
Data Engineering Best Practices
CI/CD
Data Pipelines
Cloud Environment (AWS Glue, Lake Formation, Spark, Redshift)
Data Modelling
ELT Design Patterns
Data Governance
Data Security
Problem-Solving Skills
Communication Skills
Stakeholder Management
Adaptability
Enthusiasm for Emerging Technologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in SQL, Python, and any relevant data engineering projects you've managed. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and explain why you're excited about the opportunity at Loop Recruitment. Let us know how your experience aligns with our mission to drive data-driven innovation.

Showcase Your Projects: If you've worked on any impressive data pipelines or re-architecture projects, make sure to mention them! We love seeing hands-on experience, especially in modern cloud environments like AWS. It helps us understand your practical skills better.

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 don’t miss out on any updates. Plus, it shows us you’re keen to join our team!

How to prepare for a job interview at Loop Recruitment

✨Know Your Tech Inside Out

Make sure you brush up on your SQL, Python, and any relevant data engineering tools like dbt and AWS Glue. Be ready to discuss your hands-on experience with building scalable data pipelines and managing re-architecture projects. The more specific examples you can provide, the better!

✨Showcase Your Problem-Solving Skills

Prepare to talk about complex problems you've tackled in the past. Loop Recruitment is looking for someone who can thrive independently and take ownership of ambiguous challenges. Think of a few scenarios where you’ve successfully navigated tricky situations and be ready to share those stories.

✨Communicate Like a Pro

Strong communication skills are key! Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will show that you can build strong relationships and align with various teams, which is crucial for a Senior Data Engineer role.

✨Demonstrate Your Passion for Data

Let your enthusiasm for data and emerging technologies shine through. Talk about any personal projects or continuous learning efforts you've undertaken. Showing genuine interest in best practices and innovation will resonate well with the interviewers at Loop Recruitment.

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