Responsibilities:
1. 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.
2. Leverage modern product approaches to influence and shape the business, discovery, rapid prototyping, and embedding a culture of working out loud.
3. Advocate for, and educate colleagues and stakeholders on, our Enterprise Data Engineering capabilities to ensure their value and potential is well understood.
4. Drive strong technical standards, technical processes governance and control.
5. Support and execute quality change management practices, ensuring a high bar for quality.
6. Drive Elanco’s data standards, leveraging standard languages and frameworks across the enterprise, continually reviewing them to ensure a balance of effectiveness and pragmatism.
7. Partner with core engineering groups to ensure application security is appropriately considered, monitored, and acted upon.
8. Act as an escalation point of contact to diagnose and problem solve data engineering challenges.
9. Look for opportunities to modernize our data landscape, maximizing investments and driving more reliable outcomes.
10. Contribute to the Data Engineering community across Elanco to inspire, engage, and ignite innovation.
11. Embrace and demonstrate a learning, growth, and sharing mindset.
12. 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):
13. Bachelor’s Degree in Computer Science, Software Engineering, or equivalent professional experience.
14. 6+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred.
15. 2+ years in roles requiring technical leadership and/or coaching and development of colleagues.
What will give you a competitive edge (preferred qualifications):
16. Proven ability to lead and deliver complex data projects.
17. Expertise in data pipelines, integration and analytics practices and capabilities.
18. Experience working with modern data architectures, engineering methodologies, and platforms (Databricks, lakehouse, scalable data pipelines, APIs, data contracts, SQL/NoSQL, FAIR data principles, etc.).
19. 2+ years in roles requiring technical leadership and/or coaching and development of colleagues.
20. Familiarity with machine learning workflows, data quality, and data governance.
21. Experience working in complex and diverse global landscapes (business, technology, regulatory, partners, providers, geographies, etc.).
22. Experience as a coach and/or mentor in developing technical skills.
23. Good interpersonal and communication skills; proven ability to work effectively within a team.
24. Familiarity with infrastructure automation techniques and technologies such as Terraform and Ansible.
Additional Information:
25. Travel:0-10%
26. Location: Hook, UK - Hybrid Work Environment