At a Glance
- Tasks: Design and optimise scalable data solutions in Microsoft Fabric for impactful analytics.
- Company: Join Anord Mardix, a global leader in critical power solutions.
- Benefits: Enjoy competitive salary, flexible work options, and wellness support.
- Other info: Opportunities for travel and professional growth in a supportive culture.
- Why this job: Make a real impact with your skills in a dynamic, remote-friendly environment.
- Qualifications: 5+ years in data engineering with strong SQL and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Anord Mardix, a Flex company, is a global leader in critical power solutions. With facilities around the globe, Anord Mardix leads in critical power infrastructure, supporting a myriad of industries, from financial institutions to data centers. We develop skill sets, encourage curiosity, and enable empowerment – we turn jobs into careers. If this sounds interesting, we’d like to meet you.
We are looking for a skilled Senior BI Data Engineer to join our team and support the design, development, and optimisation of our enterprise data platform in Microsoft Fabric. In this role, you will be responsible for building and managing scalable data solutions within a modern Lakehouse architecture (Bronze, Silver, Gold layers). Your work will ensure that high-quality, reliable data is available to enable impactful reporting, analytics, and business insights. The Senior BI Data Engineer role is remote-based, with occasional travel to sites.
What a typical day looks like:
- Design, build, and maintain scalable data pipelines in Microsoft Fabric using pipelines, Dataflows Gen2, and notebooks
- Integrate and consolidate data from multiple enterprise sources (ERP, CRM, APIs) into a centralised Lakehouse platform
- Develop and manage Bronze, Silver, and Gold layers, ensuring data is structured, clean, and business-ready
- Transform and prepare datasets using SQL and PySpark, ensuring high data quality and usability
- Monitor pipelines and proactively troubleshoot data issues, failures, and anomalies
- Implement and maintain data quality frameworks to ensure accuracy, consistency, and completeness
- Optimise data pipelines and storage for performance, scalability, and cost efficiency (e.g. partitioning, incremental loads, Delta/Parquet)
- Collaborate closely with BI Developers to support reporting, semantic models, and analytics use cases
- Work with stakeholders to understand data requirements and translate them into effective data solutions
- Ensure compliance with data governance, standards, and documentation practices
The experience we’re looking to add to our team:
- A bachelor’s degree in computer science or a related field
- Over 5 years of professional experience
- Experience with Microsoft Fabric or similar platforms (ADF, Synapse, Databricks)
- Strong SQL and Python / PySpark skills
- Background in data pipeline development and orchestration
- Knowledge of Lakehouse architecture (Bronze / Silver / Gold) and data modelling
- Experience with Power BI datasets / semantic models and end-to-end BI processes
- Understanding of data quality, governance, and optimisation practices
What you’ll receive for the great work you provide:
- An environment where you will feel fulfilled by your work, valued for your contribution, and celebrated for your success;
- A competitive salary and benefits package which includes:
- A merit-based annual pay review
- Enhanced annual leave
- Employee recognition scheme and long service awards
- Referral bonus
- Volunteer days
- Group Life Insurance, including a death in service payment and access to a virtual GP service 24/7 365 days a year
- Sick pay scheme
- Cycle to Work scheme
- Enhanced maternity/paternity leave
- Flexible/Remote/Hybrid Work based on your Job Function
- Travel opportunities (role dependent)
- Support in your well-being by access to Employee Assistance Programme offering free access to qualified counsellors and expert advice
- On-site trained Mental Health First Aiders
- Access to various discount programs (including food, activities, gym memberships etc.)
Anord Mardix is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process.
Senior BI Data Engineer in Kendal employer: Anord Mardix
Anord Mardix, a Flex company, is an exceptional employer that fosters a culture of empowerment and growth, making it an ideal place for a Senior BI Data Engineer to thrive. With a commitment to employee well-being, competitive benefits, and flexible working arrangements, the company ensures that its team members feel valued and supported in their professional journeys. The remote-based role offers unique opportunities for collaboration and travel, allowing employees to engage with diverse projects while developing their skills in a cutting-edge data environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior BI Data Engineer in Kendal
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Microsoft Fabric, SQL, and PySpark. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common BI Data Engineer questions and scenarios. Practice explaining your past projects and how you've tackled challenges in data pipeline development. Confidence is key!
✨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 BI Data Engineer in Kendal
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior BI Data Engineer role. Highlight your experience with Microsoft Fabric, SQL, and Python/PySpark. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Let us know what excites you about working with Anord Mardix.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Share examples of data pipelines you've built or optimised, especially in a Lakehouse architecture. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at Anord Mardix
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric and the Lakehouse architecture. Brush up on your SQL and PySpark skills, as you'll likely be asked to demonstrate your knowledge of data pipeline development and orchestration during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to data quality and optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled those issues effectively.
✨Understand the Business Context
Familiarise yourself with Anord Mardix’s role in critical power solutions. Be ready to explain how your work as a Senior BI Data Engineer can contribute to impactful reporting and analytics that support various industries, from finance to data centres.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, data governance practices, and the company’s future projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
