Version 1
Technology Services
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Version 1. Skills: Databricks, Spark, Python, SQL, AWS, Data pipeline development, Distributed systems, Scalable data architectures, Data modelling. Designing, building, and operating batch and streaming data pipelines on Databricks. Developing scalable data transformations using Spark / ELT patterns”
What You'll Achieve.
Building scalable, high-performance data platforms; Enabling downstream use cases
Industry & Context.
What They're Looking For.
Must Have
5+ years’ experience in hands‑on data engineering roles, programming skills in Python (and/or Java) and advanced SQL, 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 experience in data modelling and large-scale data system
Nice to Have
Exposure to ML / AI use cases via data platforms, Exposure to modern BI and analytics tooling, Experience working in regulated or security‑conscious environments, Consulting or client‑facing delivery experience
What You'll Do.
and operating batch and streaming data pipelines on Databricks
Developing scalable data transformations using Spark / ELT patterns
Engineering high-throughput data processing systems for large datasets
Working with cloud-native data platforms (AWS preferred)
Implementing data models
and optimisation techniques
Ensuring data pipelines are reliable
Applying data quality
and monitoring frameworks
How You'll Work.
Team & Collaboration
Collaborating with analysts, architects, and ML teams to enable downstream use cases
Full Job Description
Version 1 has celebrated over 29 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of Version 1 and what we do: * UK & Ireland's premier AWS, Microsoft & Oracle partner * 3300+ strong, €350/£300m revenue business * 10+ years as a Great Place to Work in Ireland & UK * Best Workplace for Women in the UK & Ireland by GPTW * Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you! About the Role We are looking for a Senior Databricks Data Engineer to join Version 1’s Data Practice, focused on building scalable, high-performance data platforms using Databricks and modern cloud-native technologies. This is a data engineering role, centred on data pipeline development, distributed processing, and platform delivery, with limited DevOps or ML lifecycle responsibility. What You’ll Be Doing * Designing, building, and operating batch and streaming data pipelines on Databricks * Developing scalable data transformations using Spark / ELT patterns * Engineering high-throughput data processing systems for large datasets * Working with cloud-native data platforms (AWS preferred) * Implementing data models, schema design, and optimisation techniques * Ensuring data pipelines are reliable, performant, and production-ready * Applying data quality, validation, and monitoring frameworks * Collaborating with analysts, architects, and ML te
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