Senior Data Engineer (FTC)

• Develop data pipelines that support decision-making, deliver insight, or enable more sophisticated data science applications.
• Work hands-on with data, applying practical approaches to quality, flow, and information organisation.

Technologies:

• AI
• AWS
• Lambda
• Redshift
• Azure
• Cloud
• Databricks
• Flow
• GCP
• Support
• Python
• SQL
• Snowflake
• Embedded

More:

We are a digital consultancy on a mission to close the worlds technology skills gap. Since 2014, we have helped organisations navigate technology change by combining human expertise, emerging technology, and AI. Through our Guide, Build, and Equip approach, we help clients solve complex challenges, build high-performing teams, and develop lasting capability. Our culture values curiosity, ambition, growth, client focus, collaboration, and inclusion. We organise into regional Clubs of no more than 80 people and Practice Areas that provide a home for learning and collaboration with like-minded experts. We offer 25 days of bookable holiday, flexible bank holidays, a pension contribution, Aviva healthcare cover, a £1,000 flexible benefits allowance, life assurance, income protection, eye-test and glasses benefits, and enhanced parental leave. We are committed to equal opportunities and can support adjustments to the application or interview process. We welcome appropriate AI use in application preparation, provided all submitted information truthfully represents your achievements and capabilities.

• Care deeply about producing high-quality work that delivers real value.
• Be comfortable navigating ambiguity and solving complex problems collaboratively.
• Bring strong expertise in your craft and a willingness to keep learning.
• Communicate clearly and build trust quickly with clients and teammates.
• Be pragmatic, adaptable, and outcome-focused.
• Enjoy sharing knowledge and helping others grow.
• Value low-ego collaboration and working as part of multidisciplinary teams.
• Have experience coding in Python and SQL.
• Have solid experience with Snowflake and Azure Databricks.
• Have a good understanding of how AI uses data.
• Have exposure to at least one cloud platform (AWS, Azure, or GCP) and experience with associated technologies, such as DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, or QuickSight on AWS.
• Have experience with DataOps concepts.