Lead Data Engineer in Hook

Responsibilities:

• Partner with your Product Manager to lead squads through sprints, engage in product discovery, enhance engineering designs, and develop compelling solutions to prioritized problem statements.
• Leverage modern product approaches to influence and shape the business, discovery, rapid prototyping, and embedding a culture of working out loud.
• Advocate for, and educate colleagues and stakeholders on, our Enterprise Data Engineering capabilities to ensure their value and potential is well understood.
• Drive strong technical standards, technical processes governance and control.
• Support and execute quality change management practices, ensuring a high bar for quality.
• Drive Elanco’s data standards, leveraging standard languages and frameworks across the enterprise, continually reviewing them to ensure a balance of effectiveness and pragmatism.
• Partner with core engineering groups to ensure application security is appropriately considered, monitored, and acted upon.
• Act as an escalation point of contact to diagnose and problem solve data engineering challenges.
• Look for opportunities to modernize our data landscape, maximizing investments and driving more reliable outcomes.
• Contribute to the Data Engineering community across Elanco to inspire, engage, and ignite innovation.
• Embrace and demonstrate a learning, growth, and sharing mindset.
• Look for opportunities to partner internally and externally using formats to engage, learn and achieve great outcomes for Elanco IT.

What You Need to Succeed (minimum qualifications):

• Bachelor’s Degree in Computer Science, Software Engineering, or equivalent professional experience.
• 6+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred.
• 2+ years in roles requiring technical leadership and/or coaching and development of colleagues.

What will give you a competitive edge (preferred qualifications):

• Proven ability to lead and deliver complex data projects.
• Expertise in data pipelines, integration and analytics practices and capabilities.
• Experience working with modern data architectures, engineering methodologies, and platforms (Databricks, lakehouse, scalable data pipelines, APIs, data contracts, SQL/NoSQL, FAIR data principles, etc.).
• Familiarity with machine learning workflows, data quality, and data governance.
• Experience working in complex and diverse global landscapes (business, technology, regulatory, partners, providers, geographies, etc.).
• Experience as a coach and/or mentor in developing technical skills.
• Good interpersonal and communication skills; proven ability to work effectively within a team.
• Familiarity with infrastructure automation techniques and technologies such as Terraform and Ansible.

Additional Information:

• Travel: 0-10%
• Location: Hook, UK - Hybrid Work Environment