Data Engineer
Improbable
London
4d ago

The mission of the Business Insight and Analytics team is to empower others to make smarter data-informed decisions that drive efficiency, velocity, and autonomy across the business.

As one of the initial team-members of a newly formed team, you’ll be trusted to take responsibility for building out the data insight and analytics capabilities required to support company growth and continuous improvement.

Together with people at all levels of the company, you will influence upstream, by understanding how data is created and consequently building intuitive reporting.

You will also be expected to work downstream, to support business managers drive strategy and operations through the insights we create.

Areas of impact

  • Ensuring data remains consistent across the database, and that data control and access is clearly defined and controlled.
  • Facilitating the ingest and egress of data from all areas of the business and third parties.
  • Our primary value-add comes from the ability to correlate data sources together and present a holistic, clean, and rational view.
  • Assisting other teams to make the best use of the data available regardless of its origin; this includes providing tooling, training, mentoring and coaching.
  • Designing, building and running PaaS eco-systems that enable Improbable to scale through self-service without being constrained by Engineering Foundation resources.
  • Provide architectures and best practices that work at a global worldwide scale; conforming to the technical and legal restrictions across geographic regions.
  • Implementing robust data security and maintain data standards, including adherence to the Data Protection Act (GDPR and HIPAA).
  • We would like to hear from you if you identify with the following

  • Experience in data-engineering toolsets, high-volume data architectures and data warehousing platforms. Building large data & observability platforms
  • Expertise in data visualisation, including dashboard development and design principles using Looker, Mode or other reporting tools.
  • Extensive experience developing data-sets using SQL and some recent experience writing SQL in Google BigQuery or an equivalent cloud SQL warehouse.
  • Experience coding in any of Golang, C#, Javascript, C++, Java, Python or Ruby.
  • Ability to interact effectively with both technical and non-technical audiences, providing engineering feedback across the business together with one-on-one support for analysts
  • Ability to understand and translate business needs into data and database specifications.
  • Strong knowledge of data structures (high performance, scalable, queryable, optimisation).
  • While we think the above experience could be important, we’re keen to hear from people that believe they have valuable experience to bring to the role.

    If you identify with the team and mission, but not all of our requirements, then please still apply. About UsImprobable is determined to foster an environment where people can do their best work and feel like they belong.

    We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success.

    We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status.

    Life at ImprobableDiversity, inclusion & belonging

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