Data Platform Lead Engineer in London

Our team are passionate in the pursuit of excellence and in pushing the boundaries of cancer therapy and autoimmune disease to deliver life-changing treatments to patients. Whilst working at Autolus you will enjoy a flexible, diverse and dynamic working environment which actively promotes creativity, leadership and teamwork – together we are ONE Autolus.

About Autolus: Autolus is a biopharmaceutical company, advancing innovative therapies at both clinical and commercial stages of development, focused on next-generation, programmed T cell therapies for the treatment of cancer. Using a broad suite of proprietary and modular T cell programming technologies, the company is engineering precisely targeted, controlled, and highly active T cell therapies designed to better recognize cancer cells, break down their defence mechanisms, and eliminate these cells. Autolus has a pipeline of product candidates in development for the treatment of haematological malignancies, solid tumours, and autoimmune diseases.

Why Autolus: Our team is passionate in the pursuit of excellence and in pushing the boundaries of cancer therapy and autoimmune diseases to deliver life-changing treatments to patients. In addition to this Autolus is proud to offer a competitive salary, performance related bonus as well as private medical insurance, life assurance, and pension.

Our Promise: Autolus is developing complex, breakthrough therapies for a globally diverse market and equally recognises that diversity amongst our people is critical to our mission. As we draw on our differences, what we’ve experienced, and how we work, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Role Summary: We are seeking a hands-on, experienced Data Platform Lead to own the design, development, and support of our Snowflake-based data platform. The ideal candidate will serve as a technical leader and contributor, enabling the company to centralize, integrate, and manage critical clinical, operational, and commercial data. This role requires deep technical expertise in cloud data platforms, strong problem-solving skills, and the ability to collaborate with cross-functional teams in a fast-paced, regulated environment.

Key Responsibilities:

• Lead the design, implementation, and maintenance of our Snowflake data platform, ensuring scalability, security, and performance.
• Develop and maintain data pipelines, ETL/ELT processes, and data integration solutions from multiple sources, including clinical, operational, and commercial systems.
• Implement best practices for data modeling, data warehousing, and analytics optimization. Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver high-quality solutions.
• Define and enforce data governance, data quality, and security standards across the platform.
• Troubleshoot and resolve performance, reliability, and operational issues.
• Stay current with Snowflake features, cloud data trends, and emerging data technologies.
• Mentor and provide guidance to junior team members on Snowflake best practices and architecture.

Demonstrated skills and competencies:

E – Essential P – Preferred

Experience:

• 5+ years in cloud-based data engineering or data platform roles, with at least 3 years hands-on experience with Snowflake.
• Proven experience designing, developing, and supporting large-scale data platforms and pipelines.
• Strong background in integrating multiple data sources, including structured and unstructured data.
• Experience in life sciences, biotech, or healthcare data is highly preferred.
• Familiarity with data governance, MDM, and regulatory compliance (HIPAA, GDPR) in a data platform context.

Qualifications:

• Bachelor's degree in computer science, Information Systems, Data Engineering, or related field (Master's preferred).
• Snowflake certifications (SnowPro Core or equivalent) a plus.
• Strong understanding of cloud ecosystems (Azure).
• Demonstrated ability to lead and deliver complex data platform projects end-to-end.

Skills/Specialist knowledge:

• Hands-on expertise in Snowflake architecture, data modeling, and performance tuning. Strong SQL, Python, and ETL/ELT development skills.
• Knowledge of modern data integration tools (e.g. DBT, MuleSoft).
• Familiarity with BI/analytics tools (Power BI or similar).
• Understanding of security best practices, including access control, encryption, and audit logging.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work in a fast-paced, agile environment and adapt to changing business priorities.

Autolus Core Competencies:

• Focus on Results: Works to meet business goals set by management and leaders.
• Builds Trust and Relationships: Ensures trust with internal and external partners by delivering on commitments.
• Resilience: Has the capacity to recover quickly from difficulties; toughness.
• Communicates and Collaborates: Builds partnerships and works collaboratively with others to meet objectives.

Autolus is committed to the protection of the personal information that we collect & process and we are fully compliant with General Data Protection Regulations (GDPR). Autolus' success is driven by equality and inclusion; we believe all voices are of equal value and must be heard. Whilst operating with focus and integrity, we are committed to improving diversity and inclusion within our business and our industry.

Get In Touch: Introduce yourself to our recruiters and we’ll get in touch if there’s a role that seems like a good match.