Lead Data Engineer - Snowflake, SQL, Python (health tech scaleup)
Hybrid working - 1 day per week in central London
£90-110k DoE
This small, world-class, healthcare scale-up is seeking a topflight Lead Data Engineer to lead their data pipelines and warehouses. The companys mobile, web and data products are live in 12 countries and 8 languages, spanning 3 AWS regions. Their business is growing very strongly.
The role will suit a high-energy, pro-active, Data specialist with expertise gained in fast moving, agile, start-up/equiv environments.
Requirements:
Successful academic background in your specialist discipline
8+ years' experience in architecting, developing, scaling and monitoring complex data pipelines
Expert in cloud data platforms e.g. Snowflake, Databricks, BigQuery, Redshift
Expert in SQL and Python
Strong understanding of data development best practices
Strong understanding of design patterns and architectural best practices
Ability to see the big picture and break it down into manageable chunks
Experience of mentoring other data engineers and analysts
Ability to thrive in a fast-paced agile environment
Humility and desire to learn from anyone
A flavour of the remit:
Owner and lead developer of the company data pipelines and warehouses, based around Snowflake
Completing the process to move legacy ETL pipelines from Python, SQL, PostgreSQL, Airflow to Snowflake ELT
Owning data quality, availability and security
Proactively analysing and improving the quality of our data products - including performance, scalability, maintainability, test coverage and documentation
Striving to implement best practices for data development, establishing and documenting standards across UK and US data teams
Working with internal and external teams around raw data ingestion (e.g. from EMRs)
Leading on all hiring into the data team
Mentoring other Data Engineers
Leading technical discussions to the right decisions (democracy of ideas)
Reporting to the Head of Engineering
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