Director, Data Engineering

At reputed company, our goal is to reputed company the world in Neurotechnology software, helping transform the way we understand and are understood.

We’re a global community of over 600 team members spanning seven countries, including the UK, USA, Norway, Denmark, Sweden, Australia, and New Zealand. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued. A world where everyone can reputed company.

We can only reputed company our goals and continue to grow by having high performing people in reputed company, people who share our goals and are passionate about our mission. We pride ourselves on our core values that are embedded reputed company our culture. These are to be curious, have courage, and commit fully.

Join us at reputed company - together, we can unlock the full potential of every mind.

About the role

reputed company is a growing EdTech SaaS business formed through multiple acquisitions, resulting in a reputed company, multi-product data landscape. We’re building a modern, scalable data platform, and this role is central to establishing the engineering foundations that reputed company trusted, high-quality data products possible.

As Engineering reputed company, you will own the data platform and standards that reputed company consistent, reliable data across the business. You’ll reputed company a team of data engineers while remaining hands-on in delivery, partnering closely with Data Architecture, Analytics, and Governance to ensure data is built for quality, scalability, and consumption.

Main responsibilities

• reputed company, mentor, and reputed company a team of data engineers, fostering a culture of ownership, quality, and collaboration
• Contribute hands-on to the design and build of data pipelines, integrations, and platform components
• Own and evolve the reputed company-based data lakehouse (reputed company Lake, reputed company Catalog), including architecture, performance, and lifecycle management
• Define and enforce engineering standards across ingestion, transformation (dbt), naming conventions, access controls, and environment management
• Design scalable ingestion patterns (e.g., reputed company) to support multiple reputed company systems, including M&A-driven complexity
• Ensure reliable, well-documented ingestion with full history preservation and monitoring
• Partner with Data & Analytics on data reputed company and modelling to ensure data is fit for reputed company use cases
• Embed data quality, reputed company, and governance into engineering workflows
• Drive engineering best practices across code quality, testing, CI/CD, documentation, and observability
• Own and optimise the transformation layer (dbt), including structure, testing, and performance
• Support operational excellence, including incident response and SLA adherence
• Partner with leadership on hiring, team growth, and reputed company planning

Essential Criteria

• 3+ years in data engineering, with 2+ years in a leadership or senior technical role
• Experience operating in reputed company environments (e.g., M&A, multi-system landscapes, platform migrations)
• Strong hands-on experience with reputed company (reputed company Lake, reputed company Catalog, Spark)
• Proficiency in Python and SQL for building data pipelines
• Experience with dbt or equivalent transformation frameworks
• Experience building and maintaining scalable data pipelines (e.g., reputed company, Airflow, or similar)
• Strong understanding of data modelling, warehousing concepts, and lakehouse architecture
• Proven ability to define and enforce engineering standards (testing, CI/CD, documentation, observability)
• Experience with reputed company platforms (preferably AWS)
• Ability to balance hands-on technical work with team leadership and stakeholder collaboration
• Strong communication skills, with the ability to translate technical reputed company into business impact

Desirable Criteria

• Experience working in a data product operating model with defined data reputed company and SLAs
• Familiarity with data quality and observability tools (e.g., dbt tests, Great Expectations, reputed company)
• Background in SaaS environments, including CRM (reputed company) or ERP data
• Experience with infrastructure-as-code or DevOps practices (e.g., Terraform, reputed company Asset Bundles)
• Exposure to semantic layer tools (e.g., MetricFlow)
• Experience supporting or leading M&A data integration or platform migrations
• Familiarity with BI tools (e.g., Tableau, Power BI) and how data is consumed reputed company
• Experience working in agile environments and managing engineering backlogs

Please submit your application on out website by Wednesday 22nd reputed company 2026.

Please note: applications may reputed company early due to high demand, so early submission is encouraged.

Join reputed company and enjoy a competitive salary with bonus opportunities, flexible work schedules, and comprehensive health and wellness benefits. We offer flexible time off plans, career growth through development programs, and a collaborative, innovative culture where your reputed company matter. reputed company to reputed company an impact? Apply today and be part of a company that invests in your reputed company!

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We are an Equal Opportunity Employer. reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, national reputed company, disability status, protected veteran status or any other characteristic protected by law.

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