Senior Data Governance Engineer

Elanco
Lower Basildon
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer - 18 month Fixed Term Contract

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Azure & Snowflake

At Elanco (NYSE: ELAN) – it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.
We’re driven by our vision of ‘Food and Companionship Enriching Life’ and our approach to sustainability – the Elanco Healthy Purpose™ – to advance the health of animals, people, the planet and our enterprise. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment.
We believe that diversity is the driving force behind innovation, creativity, and overall business success.
Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals’ lives better makes life better – join our team today! Location: Hook, UK (Hybrid) Data Engineering at Elanco is growing across ingestion, integration, transformation, consumption, and governance capabilities to deliver data products that will transform how the organization leverages data.
The Data Engineering and Platforms organization is seeking an experienced Data Governance 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 engineering and product leadership to deliver on the data 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 Associate Director - Data Platforms, the Lead Data Governance Engineer will manage all technical aspects of the Collibra Data Intelligence Platform ecosystem, including platform administration, release management, security, system integrations, and optimization of core components (Console, DIC, Edge, Lineage Harvester, and DQ&O).
This role requires expertise in cloud computing, data management, and platform automation, with specific knowledge of Databricks, MS Azure, Terraform, and API integration.
As part of a global, cross-functional team of technology and data experts, this role collaborates globally to ensure the platform's successful implementation and adoption. Responsibilities Platform Administration * Administer and maintain the Collibra Data Governance platform including Collibra Console, Collibra DIC, Edge, Lineage Harvester and Collibra Data quality & observability. * Working in terminals with Shell commands to manage the platform and VMs. * Work with data engineers to facilitate data integration to systems such as Databricks, Azure Synapse, Power BI, & GCP Big query. * Configure and manage Collibra communities/domain, workflows, data lineage, and business glossaries. * Work with business SMEs and identified project partners to develop requirements (functional/non-functional/operational/data quality) for Data Governance, Metadata, Data Quality and translate them into technical solutions. * Collaborate with data stewards, data owners, and IT teams to ensure data governance policies and standards are effectively implemented. * Manage licenses and users including role-based access control. * Responsible for user/ user group onboarding on Collibra with correct privileges, including advising on right privileges to manage security and license cost optimization. * Develop training materials, use case and asset model documentation, as well as implementation specification. * Provide recommendations for leveraging full functionality of Collibra platform (workflow, lineage diagrams, UI, dashboards, views, etc.). * Manage server configurations, monitor system performance, and troubleshoot issues. * Work closely with Data governance product owner, the Enterprise data office, IT, and data engineering teams to understand requirements, gather feedback, and continuously improve platform performance and user experience.   DevOps and Automation * Integrate Collibra with other enterprise systems, infrastructure automation, and tools using APIs, Kubernetes, Terraform, and Ansible for CI/CD and IaC.   Continuous Learning * Provide technical support and training to users on the Collibra platform and related tools. * Stay ahead of Collibra updates, big data technologies, automation tools, and cloud services. * Recommend and implement best practices for data governance, automation, and platform management. Qualifications * Bachelor’s Degree in Computer Science, Software Engineering, or equivalent professional experience. * 4+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred. * 4+ years of experience administering a Data governance platform, ideally Collibra. Additional Skills/Preferences * Collibra Ranger or Solution Architect certification. * Ability to translate complex business needs into technical requirements. * Experience with Infrastructure automation and application techniques and technologies such as Terraform, Kubernetes, and Ansible. * Strong proficiency in administration, configuration, functional & technical architecture of Collibra across Collibra Data intelligence Cloud, Lineage Harvester, Collibra Edge and Collibra Data Quality & Observability. * Experience with ETL tools and processes, ensuring proper data lineage and data quality. * Experience with APIs for system integration and process automation. * Experience with Collibra Data Quality tools for data profiling and data quality rule implementation. * Familiarity with data tools and cloud platforms such as Power BI, Azure, Databricks, GCP, and Big Query. * Experience configuring and customizing workflows in Collibra using Business Process Model and Notation (BPMN). * Solid understanding of data governance principles, lineage, and metadata management. * Exceptional problem-solving, proactiveness, and attention to detail. * Strong communication, collaboration, and the ability to work effectively across teams. * Experience working in complex enterprise landscapes (business, technology, regulatory, partners, providers, geographies, etc.). 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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.