Senior Data & Analytics Developer in Runcorn

Senior Data & Analytics Developer in Runcorn

Runcorn Full-Time 60000 - 80000 € / year (est.) No home office possible
INEOS Belgium

At a Glance

  • Tasks: Lead the design and delivery of innovative data solutions using modern cloud technologies.
  • Company: Join INEOS Inovyn, Europe's top vinyl producer with a collaborative and dynamic culture.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Mentor a diverse team and thrive in a fast-paced, evolving industry.
  • Why this job: Shape data strategy and make impactful decisions in a cutting-edge tech environment.
  • Qualifications: Strong data warehousing knowledge and experience with cloud platforms like Snowflake.

The predicted salary is between 60000 - 80000 € per year.

INEOS Inovyn is Europe's leading producer of vinyls and in the top three worldwide. With an annual turnover of €5.1 billion, INEOS Inovyn has circa 4,300 employees and manufacturing, sales and marketing operations in 8 countries across Europe. INEOS Inovyn’s portfolio consists of an extensive range of class‑leading products arranged across General Purpose Vinyls; Specialty Vinyls; Organic Chlorine Derivatives; Chlor Alkali; Hydrogen and Performance Chemicals. INEOS Inovyn's annual commercial production volume is circa 10 million tonnes.

The Senior Data & Analytics Developer provides technical leadership across INOVYN’s data and analytics landscape, designing and delivering high‑quality, scalable analytics solutions using modern cloud technologies. The role plays a key part in shaping data strategy, mentoring developers, and enabling the business to make confident, data‑driven decisions.

Key Responsibilities
  • Provide technical leadership for the design and delivery of INOVYN’s Data & Analytics solutions, aligned to business priorities and industry best practice.
  • Contribute to the definition and evolution of INOVYN’s Data & Analytics strategy, informed by emerging technology trends and hands‑on delivery experience.
  • Lead by example through the hands‑on development of high‑quality, sustainable solutions using cloud data platforms such as Snowflake, Qlik Sense SaaS and Microsoft Fabric.
  • Collaborate closely with business stakeholders to understand processes and challenges, translating them into effective data and analytics solutions.
  • Design, develop, and maintain robust data models, pipelines, and analytics products using industry‑standard tools and practices.
  • Own the end‑to‑end project lifecycle, including research, solution design, documentation, configuration, testing, implementation, go‑live, and end‑user training.
  • Mentor and support developers within the team, promoting high standards of engineering, documentation, and professional conduct.
  • Ensure all data assets conform to INOVYN and INEOS technical, cyber security, and regulatory standards, while meeting the needs of multiple business units.
Skills & Knowledge
  • Technical
    • Strong understanding of data warehousing principles, data modelling, and ETL/ELT patterns.
    • Proven experience developing and maintaining complex data models.
    • Advanced SQL skills, including query optimisation and performance tuning.
    • Hands‑on experience with cloud data platforms such as Snowflake, Qlik Sense SaaS and Microsoft Fabric.
    • Ability to extract meaningful insights from complex and diverse data sets.
  • Leadership & Ways of Working
    • Experience leading or mentoring a distributed development team across different cultures and locations.
    • Comfortable working with stakeholders at varying levels of technical maturity.
    • Able to balance hands‑on delivery with technical direction and team leadership.
  • Professional
    • High standards of professionalism and integrity.
    • Strong communication skills; fluent English is required, and a major European language would be advantageous.

Location: Runcorn, United Kingdom

Type: Full‑time

Closing Date: 31 July 2026

Requisition ID: 3892

Senior Data & Analytics Developer in Runcorn employer: INEOS Belgium

At INEOS Inovyn, we pride ourselves on being a leading employer in the chemical industry, offering a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and a culture that values technical excellence, ensuring that our team members can thrive while contributing to impactful data-driven decisions. Located in Runcorn, our state-of-the-art facilities provide a unique advantage for professionals looking to make a meaningful impact in a global organisation.

INEOS Belgium

Contact Detail:

INEOS Belgium Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data & Analytics Developer in Runcorn

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data and analytics projects. This is your chance to demonstrate your expertise with tools like Snowflake and Qlik Sense, making it easier for potential employers to see what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data warehousing and analytics, and be ready to discuss how you've led teams or mentored others in the past.

Tip Number 4

Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us at INEOS Inovyn. It shows initiative and enthusiasm, which we really appreciate!

We think you need these skills to ace Senior Data & Analytics Developer in Runcorn

Technical Leadership
Data Strategy Development
Cloud Data Platforms (Snowflake, Qlik Sense SaaS, Microsoft Fabric)
Data Warehousing Principles
Data Modelling
ETL/ELT Patterns
Advanced SQL Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data & Analytics Developer role. Highlight your experience with cloud data platforms like Snowflake and Qlik Sense, and showcase any leadership roles you've had in previous positions.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and analytics, and how your skills align with INEOS Inovyn's goals. Don't forget to mention your experience in mentoring and leading teams!

Showcase Your Technical Skills:Be sure to include specific examples of your technical expertise, especially in data warehousing, SQL, and ETL/ELT patterns. We want to see how you've used these skills to solve real-world problems in your past roles.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at INEOS Belgium

Know Your Data Inside Out

Make sure you brush up on your understanding of data warehousing principles, data modelling, and ETL/ELT patterns. Be ready to discuss your hands-on experience with cloud data platforms like Snowflake and Qlik Sense SaaS, as well as how you've optimised complex data models in the past.

Showcase Your Leadership Skills

Since this role involves mentoring developers and leading a team, prepare examples of how you've successfully guided others in previous positions. Think about specific instances where you balanced hands-on delivery with providing technical direction.

Understand the Business Needs

Familiarise yourself with INEOS Inovyn’s business priorities and challenges. Be prepared to discuss how you can translate these into effective data and analytics solutions, demonstrating your ability to collaborate with stakeholders at various levels of technical maturity.

Prepare for Technical Questions

Expect to dive deep into technical discussions during the interview. Brush up on advanced SQL skills, query optimisation, and performance tuning. Practising common technical questions related to data models and analytics products will help you feel more confident.