Senior Data Engineer

About Version 1

Version 1 is a trusted technology and transformation solutions provider with over 30 years of experience, partnering with global brands and leading technology providers like Microsoft, AWS, and Oracle. We are a 3300+ strong, award-winning employer recognized as a Great Place to Work for over a decade, celebrated for our commitment to employee well-being and fostering an inclusive environment.

The Role: Senior Data Engineer

Join Version 1’s Data & AI Practice as a Senior Data Engineer, focusing on modern data platforms for enterprise and regulated clients. You will be a hands-on engineer responsible for the design, build, and operation of scalable, cloud-native data solutions that enable analytics and AI at scale. This delivery-focused role is for an experienced engineer who thrives on solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real-world environments.

What You’ll Be Doing

• Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches.
• Engineering cloud-native data platforms, primarily on AWS (with Azure exposure where required).
• Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks.
• Ensuring solutions are production-ready: secure, tested, observable, and cost-efficient.
• Optimizing data performance, reliability, and data quality in live environments.
• Collaborating with analysts, data scientists, AI engineers, and platform teams.
• Mentoring junior engineers and contributing to shared standards and accelerators.

Qualifications: What You’ll Bring

• 5+ years of experience in hands-on data engineering roles.
• Strong data engineering skills using Databricks.
• Strong programming skills in Python, Java, Spark, and advanced SQL.
• Experience in the Financial Services (FS) sector.
• Proven experience building and running data pipelines in production.
• Solid understanding of distributed systems and scalable data architectures.
• Hands-on experience with AWS data services and cloud-native platforms.
• Experience with Databricks or similar distributed data processing platforms.
• Solid understanding of data modeling and data quality approaches.
• Experience building and operating both batch and streaming data pipelines.
• Familiarity with CI/CD, monitoring, and operational support of data platforms.
• Ability to contribute to technical design discussions and improve system performance, scalability, and reliability.
• Ability to support production systems by troubleshooting issues and implementing improvements.

Nice to Have

• Experience enabling ML, AI, or GenAI workloads.
• Exposure to modern BI and analytics tooling.
• Experience working in regulated or security-conscious environments.
• Consulting or client-facing delivery experience.

Why Version 1?

• Quarterly Performance-Related Profit Share Scheme.
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes and a dedicated quarterly Pathways Career Development programme.
• Flexible/remote working options to achieve a healthy work-life balance.
• Financial Wellbeing initiatives: Pension, Private Healthcare Cover, Life Assurance, Financial advice, and Employee Discount scheme.
• Employee Wellbeing schemes: Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme.
• Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave, and special leave policies.
• Educational assistance, incentivised certifications, and accreditations (AWS, Microsoft, Oracle, Red Hat).
• Reward schemes including Annual Excellence Awards & ‘Call-Out’ platform.
• Environment, Social and Community First initiatives.
• Version 1 is an equal opportunities employer committed to building a diverse, inclusive, and respectful workplace. Reasonable adjustments are available upon request.