At a Glance
- Tasks: Design and optimise data platforms, lead AI and data science initiatives.
- Company: Join Certas Energy, a leader in the future-focused energy sector.
- Benefits: Competitive salary, 25 days leave, pension, and comprehensive benefits.
- Other info: Collaborative culture with opportunities for growth and innovation.
- Why this job: Shape the future of data engineering and make a real impact.
- Qualifications: Expertise in Microsoft Fabric, SQL, Python, and data engineering best practices.
The predicted salary is between 60000 - 80000 € per year.
The Senior Data Engineer is responsible for designing, building, and optimising enterprise‑grade data platforms and analytics assets across Microsoft Fabric, Power BI, and Qlik. This role leads the development of scalable data pipelines, ensures high-quality data models, and provides technical leadership and oversight for AI and data science enablement.
Act as the technical owner for Microsoft Fabric, shaping strategy, architecture, and best‑practice use of OneLake, Data Factory, Lakehouse, Warehouses, and Real‑Time Analytics. Develop and maintain end‑to‑end data architecture, ensuring consistency, scalability, reusability, and alignment with enterprise data strategy. Lead the transition from legacy and hybrid environments to Fabric‑centric modern data architecture.
Design, build, and optimise robust, automated data pipelines using Fabric Data Factory, Spark, SQL, and other relevant tools. Build scalable feature engineering pipelines to support machine learning workloads. Implement CI/CD‑based deployment patterns for pipelines, notebooks, and semantic models. Ensure pipelines are cost‑optimised, monitored effectively, and resilient to failures.
Provide technical direction and support for enterprise reporting platforms including Power BI and Qlik. Create and maintain centrally governed semantic models, shared datasets, and data products. Collaborate with BI analysts to optimise performance, automate refreshes, and implement data modelling best practices. Provision and maintain environments, compute clusters, Python/R packages, and secure data access for experimentation and model training.
Enable MLOps‑style workflows within Fabric (or other platforms), including model versioning, monitoring, and pipeline integration. Provide oversight on feature engineering pipelines and productionisation of machine learning models. Embed data quality frameworks, documentation standards, and lineage tracking across all pipelines and datasets. Ensure compliance with organisational data governance policies, including access controls, data retention, and GDPR considerations.
Work closely with Data Governance functions to reinforce metadata standards and promote high data literacy. Lead a team of data engineers, providing coaching, mentoring, and capability uplift. Work collaboratively with product owners, BI teams, data scientists, IT, and business stakeholders. Translate business needs into scalable technical solutions and provide expert guidance on platform capabilities and limitations.
Experience (what I have done)
- Expertise in Microsoft Fabric, including Data Factory, Lakehouse, OneLake, Pipelines, and SQL Warehouse.
- Advanced skills in data engineering: SQL, PySpark, Python, Delta Lake, data modelling, pipeline orchestration, and ETL/ELT best practices.
- Experience implementing CI/CD for analytics using Azure DevOps or GitHub.
- Experience integrating AI platforms such as Azure AI, Azure Machine Learning, or Azure OpenAI.
- Knowledge of real‑time data streaming (Event Hub, Fabric Real‑Time Analytics, Kafka, etc.).
- Experience leading or mentoring data engineering teams.
- Relevant certifications (e.g., DP‑203, Fabric Analytics Engineer, Azure Solutions Architect).
- Strong experience with Power BI and Qlik at enterprise scale (semantic models, governance, performance optimisation).
- Hands‑on experience supporting and building AI/ML environments and models, data science workflows, or MLOps frameworks.
- Excellent understanding of cloud platforms (Azure preferred) including storage, compute, identity/security management.
- Strong stakeholder communication skills and the ability to lead technical discussions.
Attributes (who I am)
- Strategic thinker with a strong engineering mindset.
- Proactive, highly organised, and able to prioritise competing demands.
- Collaborative leader able to influence without authority.
- Committed to continuous improvement and innovation.
- Strong project management skills to ensure that information is delivered on time with a high level of professionalism.
- Experience of having worked closely with senior management.
What We Offer
- Competitive basic salary.
- Opportunity to play a key role in a rapidly growing, future focused sector.
- Company pension and comprehensive benefits package.
- 25 days annual leave plus bank holidays, with buy/sell/carry options.
- Life assurance (4x salary).
- Access to Certas Energy group discounts and benefits.
- Supportive, safety focused and performance driven culture.
Apply today! Please apply via the Certas Energy Careers site.
Locations
Senior Data and Machine Learning Engineer in Cheshire, Warrington employer: Certas Energy
At Certas Energy, we pride ourselves on being an excellent employer, offering a supportive and performance-driven culture that fosters innovation and continuous improvement. As a Senior Data and Machine Learning Engineer, you will have the opportunity to lead cutting-edge projects in a rapidly growing sector, with access to comprehensive benefits, a competitive salary, and ample opportunities for professional growth and development. Join us in shaping the future of data engineering while enjoying a healthy work-life balance with generous leave options and a strong commitment to employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data and Machine Learning Engineer in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Fabric and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to data engineering and machine learning. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data and Machine Learning Engineer in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Microsoft Fabric, data engineering, and any relevant projects you've led. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your strategic thinking aligns with our goals. Don't forget to mention your experience with AI and machine learning – we love that stuff!
Showcase Your Projects:If you've worked on any cool data platforms or analytics projects, make sure to include them in your application. We’re keen to see examples of your work, especially if they involve building scalable data pipelines or optimising data models.
Apply Through Our Website:We encourage you to apply directly through the Certas Energy Careers site. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Certas Energy
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric, Data Factory, and the other tools mentioned in the job description. Brush up on your SQL, PySpark, and Python skills, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll likely lead a team. Prepare examples of how you've mentored others or led projects. Highlight your ability to influence without authority and how you've collaborated with various stakeholders.
✨Prepare for Technical Questions
Expect in-depth technical questions about data architecture, CI/CD processes, and real-time data streaming. Be ready to explain your thought process and problem-solving approach when designing scalable data pipelines.
✨Align with Company Values
Familiarise yourself with the company’s culture and values. Be prepared to discuss how your proactive mindset and commitment to continuous improvement align with their performance-driven culture. This will show that you're not just a fit for the role, but for the company as a whole.
