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Data Platforms - Principal Data Engineer, Data Ingestion and Storage
Location: Hybrid - Hook, UK
Team: Data Platforms
Supervisor: Director, Data Platforms
Position Description:
Data Engineering at Elanco is growing across ingestion, integration, transformation, and consumption capabilities to deliver data products that will transform how the organization leverages data. The Data Engineering and Platforms team is seeking an experienced Data Engineer to provide technical leadership to both internal and partner teams working within our Enterprise Data environment. This is a broad role which will include coaching and leading junior engineers in their domain, as well as partnering with leadership to deliver on the engineering strategy.
To be successful in an engineering role at Elanco requires a highly motivated individual with an innovative mindset and willingness to drive tangible outcomes. The individual must be able to articulate complex technical topics, collaborate with internal and external partners and ensure quality delivery of the required data products.
Reporting to the Director - Data Platforms, the Principal Data Engineer is responsible for unlocking and orchestrating the smooth of data, ensuring stable pipelines and data products, and communicating our capabilities and patterns in easily consumable, compelling ways. This role focuses on speed to value, improving our organization’s access to useful data, and championing continual improvement.
Responsibilities:
- Support change management as new data products land into the organization.
- Articulate our technical direction and upskill colleagues (both internal and external) in leveraging our Enterprise Data Platforms to deliver data products across our enterprise and ensure value is well understood.
- Partner with the greater Data Engineering and Platforms Organization to help drive consistency across different domains.
- Drive opportunities from the Data Platforms – Enterprise Data Products backlog and provide technical leadership in design and execution of those solutions.
- Drive Elanco’s data standards, leveraging standard languages, frameworks across the enterprise and continually reviewing as appropriate to ensure the correct balance of modern and pragmatic.
- Drive a continual modernisation plan to bring legacy data products in line with new standards where appropriate.
- 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 across different data engineering domains.
- Look for opportunities to modernise specific aspects of our data landscape, helping Elanco to maximise investments and drive more reliable outcomes.
- Hands on development, triage, and consultation of Data Ingestion and Storage product and service offerings.
- Contribute to the Data Engineering community across Elanco to inspire, engage, and ignite innovation.
- Partner with Data Architects to drive data strategy across the enterprise.
- Embrace and demonstrate a learning, growth, and sharing mindset.
- Drive strong technical standards, technical processes governance and control.
- Partner with the Product Owner – Enterprise Data Products, to lead squads through sprints, building against defined backlog items.
- Look for opportunities to partner internally and externally using formats to engage, learn and achieve great outcomes for Elanco IT.
- Leverage modern product approaches to influence and shape the business, e.g. discovery, rapid prototyping, and embedding a culture of working out loud.
Basic Qualifications:
- Bachelor’s Degree in Computer Science, Software Engineering, or equivalent professional experience.
- 10+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred.
- 4+ years in roles requiring technical leadership and/or coaching and development of colleagues.
Additional Skills/Preferences:
- Proven track record in leading and delivering on complex data projects across multiple teams, domains, and geographies.
- Expertise in data management, information integration and analytics practices and capabilities.
- Experience working with modern data architecture and engineering methodologies (Domain driven data architecture, Scalable data pipelines, DataOps (CI/CD), API-Centric Design, SQL/NoSQL, FAIR data principles, etc.)
- Exposure with developing data pipelines and data products using Azure storage, search, catalog, API management, and data processing & analytics services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics and PowerBI.
- Experience working within a “DevSecOps” culture, including modern software development practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), etc.
- Familiarity with machine learning workflows, data quality, and data governance.
- Experience working in complex, diverse landscapes (business, technology, regulatory, partners, providers, geographies, etc.)
- Proven track record as a coach and/or mentor in developing technical skills.
- Excellent interpersonal and communication skills; proven ability to influence stakeholders within and outside a team.
- Awareness of Infrastructure automation and application techniques and technologies such as Terraform and Ansible.
Other Information: Occasional travel may be required.
Direct Reports: 0
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
