Lead Data Engineer - Snowflake, ELT with SQL, Python.

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 take ownership of its data engineering team, data pipelines and warehouses.

This is a key role within the company, mixing technical - developing ELT pipelines and warehouses based around Snowflake - and team leadership.

The company’s 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 Engineer with expertise gained in fast moving, agile, start-up/scale-up environments.

Requirements:

• 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
• Experience of mentoring other data engineers and analysts

Responsibilities:

• 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 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

Benefits include:

• Pension contributions
• Private healthcare
• Annual training budget
• Flexible hybrid working and home-working set-up allowance