Lead Data Engineer

AND Digital

Lead Data Engineer deploying data pipelines in a hybrid setting for clients. Join an organization bridging tech skills gap with innovative solutions and AI.

Posted 7/30/2026full-timeLeeds • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing data pipelines, leveraging tools like DataBricks and Snowflake, and applying DataOps concepts to ensure high-quality, trustworthy datasets. Proficient in Python and SQL, with a strong understanding of cloud platforms such as AWS, Azure, or GCP.

Highest-signal resume keywords

Data Pipeline DevelopmentDataBricks ArchitecturePython ProgrammingSQL ProficiencyDataOps Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyDataBricksSnowflakeAWSAzureGCPDataOpsData Product Mindset

Soft Skills

Problem SolvingCollaborationCommunicationAdaptabilityKnowledge Sharing

Tools & Technologies

FoundryBedrockDynamoDBRedshiftKinesis PipelinesGlueLambdaQuickSight

Industry Keywords

Data PlatformsData QualityData FlowData OrganizationStakeholder Engagement

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCloudDynamoDBGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design and Develop pipelines that brings data to life for decision making, either delivering insight or for more sophisticated data science applications
Define architectures for data platforms like DataBricks
Understand the use of AI in tools like Foundry/Bedrock that depend on data
Experience in being hands on with data, applying the practicalities of quality, flow, and organisation of information.
Be comfortable working in a fast moving, agile environment, within multi-disciplinary teams, delivering modern data platforms into large organisations.
Bring experience in coding in Python and SQL
Have solid experience of Snowflake and/or DataBricks
Understanding of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc)
Have experience with DataOps concepts
Have experience adopting a Data Product mindset, ensuring datasets are discoverable, addressable, trustworthy, and self-describing for downstream consumers.
Ability to bridge the gap between technical engineering and business value, translating stakeholder needs into robust data product specifications.

Requirements

What you’ll need

You care deeply about producing high-quality work that delivers real value
You’re comfortable navigating ambiguity and solving complex problems collaboratively
You bring strong expertise in your craft, alongside a willingness to keep learning
You communicate clearly and build trust quickly with clients and teammates
You’re pragmatic, adaptable and outcome-focused
You enjoy sharing knowledge and helping others grow
You value low-ego collaboration and enjoy working as part of multidisciplinary teams
Design and Develop pipelines that brings data to life for decision making, either delivering insight or for more sophisticated data science applications
Define architectures for data platforms like DataBricks
Understand the use of AI in tools like Foundry/Bedrock that depend on data
Experience in being hands on with data, applying the practicalities of quality, flow, and organisation of information.
Bring experience in coding in Python and SQL
Have solid experience of Snowflake and/or DataBricks
Understanding of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc)
Have experience with DataOps concepts
Have experience adopting a Data Product mindset, ensuring datasets are discoverable, addressable, trustworthy, and self-describing for downstream consumers.
Ability to bridge the gap between technical engineering and business value, translating stakeholder needs into robust data product specifications.

Benefits

Comp & perks

25 days bookable holiday + flexible Bank Holidays
Pension: 6% of salary paid by AND Digital with a further 2% paid by you (can be increased by choice).
Aviva healthcare cover (including pre-existing condition cover) for you.
Flexibenefit: £1000 assigned to you via our benefits portal to select or upgrade the benefits that suit you the most. Any unused allowance from the £1000 can be taken as cash.
Life Assurance.
Income Protection.
Eye test + first pair of glasses.
Parental Benefits: Generous Enhanced Maternity and Enhanced Partner (Paternity) Leave.