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Lead Data Engineer at Nutmeg

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  • London
  • fulltime

Who we are:

Nutmeg is the UK’s largest truly digital wealth manager, offering clarity and transparency to both seasoned and first-time investors as they seek to achieve their financial goals. Launched in September 2012, Nutmeg now manages over £4.5bn on behalf of over 200,000 clients who have sought the powerful combination of an easy-to-use, adaptable investment service and market-leading human advice. Nutmeg is a J.P. Morgan company offering investments and digital wealth management services to consumers, complementing Chase’s digital bank in the UK.

At a time when people are seeking the closer relationship with money that technology can provide, Nutmeg:

  • Has a team of over 240 employees
  • Offers award winning stocks and shares ISA, Junior ISAs and Lifetime ISAs, as well as a personal pensions and general investment accounts
  • Provides financial planning and advice alongside our award winning client services team

*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


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