Principal Data Engineer

Elanco
Lower Basildon
1 month ago
Applications closed

Related Jobs

View all jobs

Senior/Principal Applications Engineer / Applications Engineering Manager London, UK · Hybrid Remote

Powertrain Software Engineer

Principal Naval Architect (Weights)

Principal Naval Architect (Weights)

Principal Naval Architect (Weights)

Principal Naval Architect (Weights)

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! 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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.