Data Engineer

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Version 1 has celebrated over 28 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 Out Systems 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!

This is an exciting opportunity for an experienced developer of large‑scale data solutions. You will join a team delivering a transformative cloud‑hosted data platform for a key Version 1 customer.

The ideal candidate will have a proven track record as a senior/self‑starting data engineer in implementing data ingestion and transformation pipelines for large‑scale organisations. We are seeking someone with deep technical skills in a variety of technologies, specifically Snowflake DBT and Databricks, to play an important role in developing and delivering early proofs of concept and production implementation.

You will ideally have experience in building solutions using a variety of open source tools & Microsoft Azure services, and a proven track record in delivering high quality work to tight deadlines.

• Designing and developing robust ingestion and transformation pipelines using Snowpark dbt SQL and orchestration tools such as ADF Airflow
• Implement Zero‑Copy Cloning Time Travel Materialized Views and Tasks/Streams for reliable data flows
• Embed data quality checks and lineage
• Tune Virtual Warehouses caching micro‑partitioning and query plans
• Apply Fin Ops practices: right‑size compute, implement auto‑suspend/auto‑resume usage dashboards and resource monitors
• Configure roles RBAC masking policies row‑level access and TAG‑based governance
• Operationalise Data Contracts and collaborate with platform/security teams on compliance
• Developing scalable and re‑usable frameworks for ingestion and transformation of large data sets
• Working with other members of the project team to support delivery of additional project components such as reporting tools API interfaces Search
• Working within an Agile delivery Dev Ops methodology to deliver proof of concept and production implementation in iterative sprints

• Direct experience of building data pipelines using Snowpark dbt SQL and orchestration tools such as ADF Airflow
• Snow Pro Core Snow Pro Advanced Architect Data Engineer relevant cloud certifications Azure AWS
• Hands on experience designing and delivering data solutions using the Azure and AWS cloud platform
• Experience building data warehouse solutions using ETL ELT tools like Databricks Teradata
• Comprehensive understanding of data management best practices including demonstrated experience with data profiling sourcing and cleansing routines utilizing typical data quality functions involving standardisation transformation rationalisation linking and matching

• Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability
• Share in our success with our Quarterly Performance‑Related Profit Share Scheme where employees collectively benefit from a share of our company's profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible…