Data Engineer - in-depth Python, PostgreSQLHybrid - a day each week central London£50-75k + benefitsOur client is a digital surgery scale-up (launched in 2016) with a rapidly growing customer base across the UK, Europe, US and Australia, working with prestigious healthcare clients (including global medical device companies, state-wide US hospital networks, the NHS and large government institutions).Sustained growth and a partnership with a billion-dollar US healthcare company underpins this opening for a talented Data Engineer to help take their data infrastructure and pipelines to the next level.The Data Engineer will help rebuild the data warehouse from scratch, which is the backbone of the companys product offerings.The role:The company is engineering two new systems: an operational warehouse (critical for their products) and an analytical warehouse (the hub for their clients and analysts). The Data Engineer will be core to the design and implementation of both systems. This entails:Helping to rebuild their reporting interfaces across the product and the analytics warehouse. You will be core to creating the infrastructure for this effort as well.Working with the backend team to assist with data optimisation, real-time data queries, and other infrastructure projectsProactively analysing and improving the quality of their systems: including performance, scalability, maintainability, test coverage and documentationThe current tech stack involves Python, PostgreSQL on RDS, Airflow and Snowflake. This is NOT a role where youll be just configuring data tooling its hardcore Python and SQL coding!You will need:3+ years of hands-on experience with Python for data. Python is the core competency hence its crucial for you to be intimately familiar with collaborative Python devVery comfortable with SQL, preferably PostgreSQLGrowth mindset: a love of learning and resilience in the face of oddsTeam mindsetThe following skills/experience are desirable:CI/CD and modern software testingFoundational AWS products and systems, such as RDS, S3 and EC2TPBN1_UKTJ
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