Data Engineer

Accelero; Nottingham; Remote; GBP 45,000 - 70,000; Full time

Job summary

Accelero is seeking a skilled Data Engineer to join their team in Nottingham. This remote-first role involves designing robust data pipelines and supporting data migration projects. Ideal candidates will have strong Python and PySpark skills, with a focus on collaboration and problem-solving. Enjoy a supportive team environment and flexible working arrangements.

Benefits

Private Health Insurance

Friendly, supportive team environment

Work from anywhere in the world (up to 12 weeks per year)

Qualifications

• 3+ years’ experience as a Data Engineer or in a similar role.
• Strong hands-on experience with Python and PySpark.
• Proven experience in data migration and transformation projects.

Responsibilities

• Design and build scalable ETL/ELT data pipelines using Python and PySpark.
• Lead and support data migration initiatives across legacy and cloud-based platforms.
• Collaborate with analysts, data scientists, and stakeholders.

Skills

Python

PySpark

Data Migration

Problem Solving

Communication

Teamwork

Job description

Accelero Nottingham, England, United Kingdom

Accelero Nottingham, England, United Kingdom

This range is provided by Accelero. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Accelero

Recruitment Consultant @ Accelero | Here to support your Hiring needs [e-mail]

Job Title: Data Engineer

About the Role

We're looking for an experienced Data Engineer to join our growing team, supporting large-scale data migration and transformation projects. This is a remote-first position with just 1–2 days per month required in our Nottingham office.

As a key member of the engineering team, you’ll help design, build, and maintain robust data pipelines using Python and PySpark, enabling powerful analytics and smarter business decisions across the organisation.

What You'll Be Doing

• Design and build scalable ETL/ELT data pipelines using Python and PySpark
• Lead and support data migration initiatives across legacy and cloud-based platforms
• Collaborate with analysts, data scientists, and stakeholders to deliver high-quality, reliable data solutions
• Ensure best practices in data engineering, including quality, testing, and performance tuning
• Contribute to the evolution of our data platform architecture

What We're Looking For

• 3+ years’ experience as a Data Engineer or in a similar role
• Strong hands-on experience with Python and PySpark
• Proven experience in data migration and transformation projects
• Solid understanding of cloud-based data platforms (e.g., AWS, Azure, GCP – nice to have)
• Strong problem-solving skills and attention to detail
• Excellent communication and teamwork abilities
• Remote-first working – just 1–2 days/month in Nottingham
• Work from anywhere in the world (up to 12 weeks per year)
• Private Health Insurance
• Friendly, supportive team environment

Ready to join a forward-thinking team where your skills make a real impact? Apply today or drop us a message to learn more.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Data Infrastructure and Analytics and IT System Data Services

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