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Lead Data Engineer
AND DigitalLead Data Engineer at AND Digital deploying and maintaining data pipelines with a DataOps culture. Engaging with multi-disciplinary teams to deliver modern data solutions.
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSAzureCloudDynamoDBGoogle Cloud PlatformSQL
About the role
Key responsibilities & impact- Develop pipelines that brings data to life for decision making, either delivering insight or for more sophisticated data science applications.
- Be comfortable working in a fast moving, agile environment, within multi-disciplinary teams, delivering modern data platforms into large organisations.
Requirements
What you’ll need- Experience in being hands on with data, applying the practicalities of quality, flow, and organisation of information, and an understanding of data modelling approaches.
- Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life.
- Strong Snowflake experience is preferred, and Databricks experience would be a bonus.
- Practical hands-on experience 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).
- Hands-on dataops experience (eg. CI/CD, version control, IaC, etc.)
- 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 holiday allowance + flexible bank holidays
- 2 days per year for volunteering
- Share scheme
- A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan
- PLUS many more
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modellingdata qualitydata flowdata organizationSnowflakeDatabricksAWSAzureGCP
Soft Skills
agile environmentmulti-disciplinary teamworkdata product mindsetstakeholder communicationtranslating technical needs