
Data Engineer - Engine by Starling
- London
- Permanent
- Full-time
- Shape the future of data for Engine, including approaches, tooling and architecture.
- Develop data as a core product offering for Engine both internally and for our clients, working with and responding to client feedback and market analysis.
- Work across the boundary of software engineering and core data platform challenges.
- Understand, build and develop data integration and warehousing solutions.
- Deliver exceptional data solutions promoting a self service culture through trusted pipelines, quality checks, clear documentation, lineage, entity relationships and governance.
- Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, etc.
- Coach and mentor software engineers in the ways of data engineering across the organisation.
- Obtain a wide and varied understanding of how our internal teams and client banks operate.
- Work with cloud-based infrastructure (AWS, GCP) for hosting data solutions and applications.
- Collaborate with clients, solution architects and other engineers to help meet the client goals.
- Proven experience in development and maintenance of a cloud-based data warehouse.
- Strong experience with SQL and relational databases (preferably postgres); working with Change Data Capture is a bonus.
- Data modelling knowledge, breaking down backend logic to understand and form a holistic data model (ie 3NF, star schema, Data Vault).
- Strong experience with Python, TypeScript or Java (a significant amount of work will be in Java - it is not expected for you to know it today but to learn from the team as it makes up a large part of the stack).
- Good knowledge of Data Engineering tooling such as dbt or Spark. CDC tools like Debezium are a bonus.
- Build data systems with a software and infrastructure engineer mindset, including tested, scalable, resilient, fault tolerant, observable and “as code” practices.
- Good understanding of DevOps practices, Infrastructure as Code & Continuous Integration / Continuous Deployment.
- Experience extracting, loading and transforming large data sets (>100GBs).
- Experience with schema evolution tools such as flyway or liquibase.
- Experience with AWS (S3, IAM, RDS).
- Translate internal data user needs into building BI Dashboards to answer their key business questions.
- Data capabilities outside of engineering (e.g. data catalogue, data modelling, data lineage, data governance, data visualisation/reporting and compliance).
- Experience with data quality tooling (e.g. Great Expectations).
- Experience working cross-functionally with technologists from other specialties, and non-technical stakeholders across the business.
- Initial interview with our Staff Data Engineer - ~45 minutes
- Take home technical test to be discussed in the next interview
- Technical interview with some Engineers - ~1.5 hours
- Final interview with our CTO / deputy CTO ~45 minutes
- 33 days holiday (including public holidays, which you can take when it works best for you)
- An extra day’s holiday for your birthday
- Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
- 16 hours paid volunteering time a year
- Salary sacrifice, company enhanced pension scheme
- Life insurance at 4x your salary & group income protection
- Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
- Generous family-friendly policies
- Incentives refer a friend scheme
- Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
- Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing
We are sorry but this recruiter does not accept applications from abroad.