Senior Engineer, Data Engineering

Found in: Jooble UK C2 - 2 weeks ago

London, United Kingdom Cera Full time

Position: Data Engineer
Reporting to: Lead Data Engineer
Contract type: Full Time, Remote (with Occasional Travel)


This is an exciting opportunity to join one of Europe's fastest growing healthtech startups

Cera is a digital-first healthcare-at-home company delivering care, nursing, telehealth and repeat prescription services in people’s homes via technology. In under five years, Cera has expanded to 10,000+ staff across the UK and Germany, delivering 50,000+ healthcare visits a day, and has grown from zero to nearly $300M revenues.

About Data at Cera

Data has a critical role to play in two distinct areas. First, data about our operations, covering everything from hiring carers to the delivery of care, helps us to observe and understand how we are performing, what is working and what we could do to better deliver care. Second, data about patient health, covering everything from their conditions to the health outcomes resulting from those conditions, helps us to observe and understand their experience but more importantly, it helps us to predict and prevent health deteriorations for those in our care.
As a Data Engineer in the Data Platform Team, You’ll contribute to Cera’s mission by ensuring that if there exists data that helps improve the delivery of care or the health of our service users, that we can create or acquire it and make it easy to consume by people or as product features as needed to realise it’s value.

You’ll work with software engineers and system owners to understand and document where and how data is created, influencing upstream to ensure quality and integrity at source where possible
You’ll engineer pipelines to collect and protect data from multiple sources (e.g. AWS MySQL or PostgreSQL, APIs, Google Drive, event delivery pipelines), into a single persistent storage solution that enables everything from simple reporting to ML-backed products
You’ll support key data projects in collaboration with Product teams to deliver best-in-class data engineering solutions for both internal and external digital products
You’ll work with the technical and data leadership to make the data architecture and technology decisions needed to deliver in the present and set us up for the future by articulating our challenges, establishing selection criteria and evaluating options before opening for comment with other engineers and tech leads
You’ll implement engineering operational excellence/site reliability best practices for your data pipelines, including defining and instrumenting metrics that become a part of our team OKRs
You’ll support initiatives to improve our data accuracy, availability, granularity, coverage, and overall robustness of our data management capabilities.

You’re committed to making data easy to use by people across our business, ensuring it’s a source of value for the people in care operations and for the people in our care. This makes you bold but thoughtful, able to thrive in a fast paced, complex data environment.
You’ll apply your skills as a data professional and drive for simplicity to innovate and find the right solutions for our people’s data needs, challenging the status quo - there must be a better way. You work across our product, engineering and operations teams to scope datasets that enable delivery of reporting, insights and training data at the heart of achieving our mission. You keep our carers and service users in mind, connecting their operational needs and health needs with your delivery pipelines.
You drive a high standard/best practice for our data warehouse and data pipelines
You will build support for the importance of collecting and leveraging data, be open and willing to engage with everyone to discuss, to share, to inquire, and to inspire, and spread the word about our data products and services.
You care about the value your highly valued skills have to contribute to tackling one of society's greatest challenges: affordable care.

Strong hands-on experience building and maintaining data pipelines and ETL processes on a cloud platform
Demonstrated experience delivering data products in a modern BI technology or open source data frameworks
Strong SQL skills and experience with relational and non-relational databases, and dealt with a wide range of data types and formats (e.g. Experience using programming languages (e.g. Python, Scala) to build effective data architecture, streamline data processing, and improve data efficiency via automation.
Experience working collaboratively with data analysts, data scientists, business managers and product managers to establish their needs and convert to structured data needs
Experience implementing full continuous delivery pipelines to automate builds, tests, and deployments in one release workflow, using modern tools and systems (e.g. Strong executional capacity in dev/data/security operations, including writing code for automation, scripting and managing cloud infrastructure and security (e.g. Great communication and data modelling (especially dimensional modelling) skills (e.g.

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