Senior Data Engineer (Perm, UK, Hybrid) in London

Senior Data Engineer (Perm, UK, Hybrid) in London

London Full-Time 60000 - 80000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build scalable data platforms and pipelines using SQL, Python, and Spark.
  • Company: Join Nearform, a leading tech company focused on AI and digital solutions.
  • Benefits: Enjoy flexible remote work, competitive salary, and generous annual leave.
  • Other info: Opportunity for travel to Germany and excellent career growth prospects.
  • Why this job: Make a real impact by solving complex data challenges in a collaborative environment.
  • Qualifications: 6+ years in data engineering with strong skills in SQL, Python, and cloud solutions.

The predicted salary is between 60000 - 80000 € per year.

This is a permanent full-time opportunity for those based in the UK. This role will require travel to Germany.

About Nearform

Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people‑first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.

About the Senior Data Engineer role

As a Senior Data Engineer at Nearform your main task will be designing, building, and maintaining scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, and other relevant technologies. You will play a key role in building efficient data solutions, optimizing performance, and ensuring seamless data integration. However as you’ll likely work on a variety of projects your responsibilities may also include:

  • Designing, building, and optimizing data pipelines and ETL processes for large‑scale data ingestion and transformation.
  • Developing and maintaining data platforms and warehousing solutions to support analytics and business intelligence needs.
  • Implementing scalable data storage solutions and ensuring high availability and performance.
  • Enhancing performance in data processing workflows for maximum speed and scalability.
  • Collaborating with data scientists, analysts, and stakeholders to understand business needs and translate them into data engineering solutions.
  • Ensuring data quality, governance, and compliance across all systems.
  • Supporting CI/CD processes for data pipeline deployments and implementing best practices in DevOps for data workflows.
  • Conducting code reviews and enforcing best practices in version control, automation, and testing.
  • Assisting with defining structured source code management and deployment processes.
  • Working with and supporting Technical Leaders in project execution and timely delivery.
  • Collaborating with client teams.

What we are looking for in this person

  • Significant experience delivering at a Senior Engineer level, specialising in Data engineering. Our Seniors typically have at least 6 years’ commercial experience.
  • Practical experience delivering in an agile environment.
  • Practical experience and knowledge of developing real‑world solutions.
  • Extensive hands‑on experience in SQL, Python, and Spark for large‑scale data processing.
  • Strong expertise in data warehousing technologies (e.g., Snowflake, Redshift, BigQuery, or similar).
  • Experience with distributed data processing frameworks (Spark, Hadoop, or similar).
  • Deep understanding of ETL processes, data modelling, and schema design.
  • Strong experience with cloud‑based data solutions (AWS, Azure, GCP) and data lake architectures.
  • Experience with automation, CI/CD for data pipelines, and Infrastructure as Code (IaC).
  • Deep understanding of versioning control tools - e.g. Git.
  • Experience building software collaboratively using pull requests and code reviews.
  • Familiarity with data governance, security, and compliance best practices.
  • Excellent communication and collaboration skills.
  • Professional proficiency in English.
  • Must hold valid passport for travel.
  • Travel, this role will require up to a week per month onsite in Germany.

Benefits

  • Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.
  • Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!
  • Paid Time Off Package - We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more.
  • Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.
  • Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance of up to €1000 (equivalent in GBP) you can use to upskill yourself.
  • Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team.
  • Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind.

Ready to Join Us?

If you’re passionate about building high‑quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you. Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence. If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.

Senior Data Engineer (Perm, UK, Hybrid) in London employer: NearForm Ltd

Nearform is an exceptional employer that prioritises a people-first culture, offering flexible working arrangements and a strong commitment to work-life balance. With generous benefits including an annual company bonus, extensive training and development allowances, and private healthcare, employees are empowered to grow both personally and professionally. Located in the UK with opportunities for travel to Germany, Nearform fosters a collaborative environment where innovation thrives, making it an ideal place for those passionate about data engineering and AI solutions.

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Contact Detail:

NearForm Ltd Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer (Perm, UK, Hybrid) in London

Tip Number 1

Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.

Tip Number 2

Prepare for those interviews! Research the company, understand their projects, and be ready to discuss how your skills in SQL, Python, and Spark can help them tackle their data challenges. Show them you’re not just another candidate!

Tip Number 3

Don’t forget to follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make decisions.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Nearform.

We think you need these skills to ace Senior Data Engineer (Perm, UK, Hybrid) in London

SQL
Python
Spark
Data Warehousing Technologies
ETL Processes
Data Modelling
Schema Design

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Python, and Spark, and don’t forget to mention any relevant projects you've worked on that showcase your skills in data engineering.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your experience aligns with our mission at Nearform. Keep it concise but impactful!

Showcase Your Projects:If you’ve worked on any interesting data projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your problem-solving skills and technical expertise.

Apply Through Our Website:Don’t forget to apply through our careers page! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we can’t wait to see what you bring to the table!

How to prepare for a job interview at NearForm Ltd

Know Your Tech Stack

Make sure you’re well-versed in SQL, Python, and Spark, as these are crucial for the Senior Data Engineer role. Brush up on your knowledge of data warehousing technologies like Snowflake or Redshift, and be ready to discuss how you've used them in real-world scenarios.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex data challenges in previous roles. Think about projects where you designed efficient data pipelines or optimised performance, and be ready to explain your thought process and the impact of your solutions.

Understand Agile Methodologies

Since the role requires experience in an agile environment, be prepared to discuss how you've contributed to agile teams. Highlight your collaboration with data scientists and analysts, and how you’ve adapted to changing project requirements while maintaining high-quality outputs.

Communicate Clearly

Excellent communication is key, especially when collaborating with various stakeholders. Practice explaining technical concepts in simple terms, and be ready to discuss how you ensure data quality and compliance across systems. This will show that you can bridge the gap between technical and non-technical team members.