Analytics Engineering Lead
Tasks
- Design and implement scalable reusable data models with dbt and Snowflake
- Drive adoption of standardised well documented data models
- Ensure data quality through testing monitoring governance
- Evaluate and introduce new tools and technologies
- Lead analytics engineering best practices for modelling testing documentation governance
- Lead architectural decisions balancing performance cost scalability usability
- Lead planning and delivery of analytics engineering initiatives
- Mentor analytics engineers through code reviews pairing and knowledge sharing
- Optimize processes tooling and workflows
- Own scalable data models and datasets
- Partner with stakeholders to define requirements
- Support Snowflake performance security and cost efficiency
- Translate business and data challenges into scalable data models and delivery plans
Perks/Benefits
- Coaching and development programs
- Dog-friendly offices
- Flexible working
- Generous holidays
- Hybrid working
- International working days
- Learning allowances
- Mental health support
- Pension plans
- Private healthcare
- Staff discounts
Skills/Tech-stack
API Gateway | AWS | Airflow | Analytics engineering | BigQuery | Confluence | DBT | Dagster | Data Governance | Data Modeling | Datadog | EC2 | Fivetran | GCP | GTM | Git | Glue | Google Analytics | Jira | Lambda | Python | S3 | SQL | Snowflake | Tableau | Terraform
Education
N/A
Roles
Analytics Engineer | Engineer | Lead | Lead Analytics | Lead Analytics Engineer
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