Lead Data Engineer

London, England, United Kingdom

Applications have closed

Nutmeg

Nutmeg is an online investment management service. Invest money using our General Investment Account, ISA, Pension, Lifetime ISA or Junior ISA.

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Who we are:

Nutmeg is Europe’s leading Digital Wealth Manager, but we don’t want to stop there. We’re continuing to build our platform to help us achieve our mission of being the most trusted Digital Wealth Manager in the world. In 2021 Nutmeg became a J.P.Morgan company offering investments and digital wealth management services to consumers, complementing Chase’s digital bank in the UK.

Since being founded we've:

  • Grown to 220+ employees
  • Launched 4 amazing products including JISA and Lifetime ISA
  • Won multiple awards including Best Online Stocks & Shares ISA Provider for the fifth year in a row!

We hit the 180,000 investor milestone in 2021 and now manage over £4 billion AUM.

*We offer flexible working*

Job in a nutshell:

We run a pure AWS-based cloud environment and deliver features using a continuous delivery approach. Our Data platform comprises a mix of services and open-source products fully running in Kubernetes and utilising AWS native Data solutions.

Nutmeg Data solution is a mix of batching and streaming processes leveraging Airflow, Apache Kafka and AWS Data tools. Our key characteristic is enabling a self-service experience for all Data stakeholders.

Nutmeg products are served by a polyglot mix of microservices designed following Domain-Driven Design principles and composing an Event-Driven Architecture powered by Apache Kafka.

As a Data Engineer Lead, you will be a trusted technical authority within the organisation and in charge of a squad of data engineers. As the Lead of the Data Engineering team, your primary responsibility will be defining and enabling a data strategy in collaboration with the Principal Data Engineer that can support Nutmeg’s growth. You will closely collaborate with technical and non-technical stakeholders to deliver Data as a product. Lastly, you will have people responsibilities for the Data Engineering team.

We are looking for someone with previous job experience as an engineering lead and a strong passion for Data challenges.

Requirements

Your skills:

  • Experience in managing an engineering team
  • Experience in collaborating with technical and non-technical stakeholders to define requirements and convert them into technical tasks
  • Experience in using of agile/lean methodologies for continuous delivery and improvement
  • Experience in applying Data engineering industry best practice
  • Experience in designing, implementing, and maintaining complex Data models
  • A good understanding of CI/CD principles
  • Writing automated test around Data models, Data pipelines and Data quality
  • Experience with cloud platforms for Data (ideally AWS)
  • Experience in defining infrastructure as code
  • Experience in driving cross-function Data initiatives
  • Good understanding of Data governance and security standards
  • Experience in collaborating with non-technical stakeholder to support Data Governance
  • Previous experience with two or more of the following: Airflow, dbt, Kafka Connect, Looker, and Python

You might also have:

  • DataOps best practice
  • Experience in building and running a Data Mesh
  • Previous experience with one or more of the following: Cloud Native Data products, Apache Kafka and its ecosystem of tools, Serverless Data pipelines, Event Driven Architecture, Domain driven design
  • Knowledge of monitoring, metrics or Site Reliability Engineering


Tags: Agile Airflow Architecture AWS CI/CD Data governance DataOps Data pipelines Data quality Data strategy Engineering Kafka Kubernetes Looker Microservices Pipelines Python Security Streaming

Perks/benefits: Flex hours

Region: Europe
Country: United Kingdom
Job stats:  8  0  0

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