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Head of Data Engineering

Mirai Tech Recruitment
Posted 10 days ago, valid for a month
Location

Leeds, West Yorkshire LS13DA, England

Salary

£95,000 per annum

Contract type

Full Time

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Sonic Summary

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  • The Head of Data Engineering position is a leadership role focused on developing and optimizing an Azure-based data platform in a high-growth environment.
  • Candidates should have proven experience in data engineering leadership roles, with advanced proficiency in the Azure data stack, and ideally possess 7+ years of experience in enterprise-level organizations.
  • The role involves conducting data engineering health checks, designing data models, and leading the development of data warehousing solutions using Azure Synapse.
  • The successful candidate will collaborate with senior stakeholders to set the data engineering strategy and support the integration of data systems following acquisitions.
  • The salary for this role is competitive and commensurate with experience, reflecting the importance of the position within the organization.

Head of Data Engineering

Are you ready to lead and inspire in a dynamic, high-growth environment? We are searching for a Head of Data Engineering to drive the development and optimisation of an Azure-based data platform, unlocking its potential and delivering transformative value to the business. This is an exciting opportunity to make a real impact in an enterprise setting, and is the first data appointment for the organisation!

What Youll Be Doing:

  • Conduct a comprehensive data engineering health check to identify opportunities for optimisation and scalability.
  • Design, build, and maintain multi-dimensional data models, ensuring efficiency and cost-effectiveness.
  • Lead the development and maintenance of data warehousing solutions using Azure Synapse and related technologies.
  • Deliver high-impact projects on time and within scope, ensuring alignment with business objectives.
  • Collaborate with senior stakeholders to set and execute the data engineering strategy.
  • Embrace a high-performance culture within the data engineering team, aligning efforts with the broader organisational goals.
  • Partner with cross-functional teams to deliver impactful data solutions that drive decision-making.
  • Support the integration of data systems following acquisitions, ensuring seamless scalability.

What You Can Bring:

  • Proven experience in data engineering leadership roles within enterprise-level organisations.
  • Advanced proficiency in Azure data stack, including Synapse, Data Factory, and Databricks.
  • Hands-on expertise in building and optimising scalable data pipelines and warehouses.
  • Strong communication skills, with the ability to translate complex technical concepts for non-technical audiences.
  • Experience working in financial services or asset/wealth management, with an understanding of control and risk factors.
  • A proactive, go-getter attitude and the willingness to go above and beyond when necessary.
  • A track record of scaling data teams and systems in rapidly growing environments.

Whats in It for You:

  • The opportunity to lead and shape a growing data engineering function in a global, PE-backed organisation.
  • Ownership of greenfield projects, with the autonomy to deliver impactful results.
  • Collaboration with a forward-thinking leadership team in a high-energy, no-nonsense culture.

Mirai is committed to building a diverse and inclusive workplace. We value different perspectives and actively seek to attract a wide range of talent. We encourage applications from all qualified candidates, regardless of race, gender, disability, age, sexual orientation, gender identity, or any other characteristic.


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In order to submit this application, a TotalJobs account will be created for you. As such, in addition to applying for this job, you will be signed up to all TotalJobs’ services as part of the process. By submitting this application, you agree to TotalJobs’ Terms and Conditions and acknowledge that your personal data will be transferred to TotalJobs and processed by them in accordance with their Privacy Policy.