Data Engineer 2

Role Overview

Design, build, support and maintain scalable, reliable data solutions that enable the business to make timely, data-driven decisions. This role owns the data pipelines, integrations and analytics tooling — including Snowflake and Power BI — that underpin reporting and analytics across the organisation.

What You Will Do

Design, build, support and maintain scalable, secure data pipelines and integrations across the organisation’s data estate. Develop and maintain data models, ETL/ELT pipelines and analytics solutions using Azure Synapse Analytics, Snowflake, Power BI and related data tooling.

Why It Might Be a Fit

Champion effective and responsible use of AI-assisted tooling (e.g. GitHub Copilot, Claude) to improve the speed, quality and efficiency of data engineering delivery. Troubleshoot and resolve complex data issues, including data quality, performance and integration failures, across both modern and legacy platforms.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems or a related field, or equivalent professional experience.
• 5+ years of experience in data engineering, data warehousing or business intelligence roles.
• Strong hands-on experience with Snowflake or an equivalent cloud data warehouse platform.
• Strong hands-on experience with Power BI, including data modelling, DAX and report/dashboard development.
• Experience building and maintaining ETL/ELT pipelines and data integrations, including legacy systems.
• Practical experience using AI-assisted tooling (e.g. GitHub Copilot, Claude) to improve data engineering delivery.
• Strong SQL skills and experience with data modelling, including dimensional modelling and star schemas.
• Experience working with cloud platforms (Azure, AWS or GCP) and cloud-native data services.
• Understanding of data governance, data quality and data security principles.
• Experience working closely with Development, Cloud and Security engineering teams in a cross-functional environment.
• Experience with Azure Synapse Analytics is desirable.
• GxP, GCP and/or TMF (Trial Master File) knowledge preferred but not mandatory.
• Excellent problem-solving skills and the ability to diagnose and resolve complex data issues.
• Rapidly absorbs and critically assesses new information and applies it effectively, keeping pace with evolving data and AI tooling.
• Strong communication skills, with the ability to translate technical data concepts for non-technical stakeholders.
• Makes decisions which impact the success of assigned work, i.e. results, deadlines and quality, and supports collaborative ways of working across the team.
• Investigates, defines and resolves complex data issues across a broad range of technical contexts.
• Learning and professional development — keeps own data and AI tooling knowledge current and shares learning with the team.
• Security, privacy and ethics — fully understands the importance and application to own work and the operation of the organisation.

Benefits

• Benefit offerings outside the US may vary by country and will be aligned to local market practice.
• Full time

Tagged as: Data Analysis, Power BI, Snowflake, SQL