At a Glance
- Tasks: Design and maintain ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, and Python.
- Company: Join a leading organisation focused on innovation and continuous improvement.
- Benefits: Enjoy hybrid working, financial wellbeing support, and high-street discounts.
- Other info: Inclusive recruitment process with diverse training and development opportunities.
- Why this job: Work on exciting data transformation projects with modern cloud and AI technologies.
- Qualifications: Expert SQL and Python skills, with experience in data engineering and governance.
The predicted salary is between 50000 - 60000 € per year.
Hours: 40 hours per week
Location: Hybrid working with occasional visits to one of our offices in Birmingham, Bristol, London or Manchester
Responsibilities:
- Design, develop and maintain robust ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory and Python.
- Manage the ingestion of raw data from multiple sources including CAFM, Finance Systems, Salesforce, IoT and HR systems into the Data Lakehouse.
- Implement automated SQL and Python processes to identify, monitor and resolve data quality issues at source.
- Maintain Data Governance standards including data dictionaries, lineage and schematics, ensuring data integrity and audit readiness.
- Collaborate with Analysts, BI Developers, Information Systems and architecture teams to deliver scalable, future-proofed data solutions and optimise system performance.
Qualifications:
- Expert-level SQL skills combined with strong Python experience, including data manipulation using Pandas and PySpark.
- Experience working with Microsoft Fabric and Azure Data Stack technologies including Azure Data Factory, Synapse and Data Lake.
- Proven experience delivering ETL/ELT projects, data modelling and implementing Data Governance controls.
- Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, with a minimum of 3 years’ experience in a Data Engineering role.
- Strong communication, analytical and problem-solving skills with the ability to explain technical issues in a business-focused way.
Benefits:
- Opportunity to work on innovative data transformation projects using modern cloud and AI-driven technologies.
- Hybrid working environment with flexibility and career development opportunities.
- Supportive team culture within an industry-leading organisation focused on continuous improvement and innovation.
- We offer a virtual GP on hand for you and household members; you can get expert advice by video or phone without leaving home.
- Financial wellbeing assistance through our Salary Finance scheme (e.g., accessing part of earned pay before payday for a small fee; offers competitive loans).
- Link to flexible lifestyle benefits platform, Choices, enabling you to purchase up to five extra days’ holiday each year, buy critical illness insurance, seek dental treatment or purchase technology products at affordable cost.
- High-street discounts from thousands of well-known retailers, gyms and more through our MiDeals platform; cycle-to-work scheme; life cover of up to four times salary; enhanced pension contributions; save-as-you-earn scheme; Mitie Matching Share Plan (may award free shares).
- Recognition through Mitie Stars, with monthly cash prizes and an end-of-year prize of £10,000.
- Diverse variety of training and development avenues via a wide selection of learning resources.
Equal Opportunities:
We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need reasonable adjustments during the recruitment process, please let us know by emailing Ashish Gautam at ashish.gautam@mitie.com.
Data Engineer employer: Mitie Cleaning & Hygiene Services
As a Data Engineer at our company, you will thrive in a hybrid working environment that promotes flexibility and innovation. We are dedicated to your professional growth, offering diverse training opportunities and a supportive team culture within an industry-leading organisation. Enjoy unique benefits such as virtual GP access, financial wellbeing assistance, and high-street discounts, all while contributing to cutting-edge data transformation projects.
Contact Detail:
Mitie Cleaning & Hygiene Services Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a Data Engineering role. You never know when a casual chat could lead to your next job opportunity.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving ETL/ELT pipelines or data governance. Share it on platforms like GitHub or LinkedIn. This gives potential employers a clear view of what you can do and how you tackle real-world problems.
✨Ace the Interview
Prepare for technical interviews by brushing up on SQL and Python. Practice common data engineering scenarios and be ready to explain your thought process. Remember, it’s not just about getting the right answer but showing how you approach problem-solving.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest opportunities tailored to your skills and interests.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any relevant ETL/ELT projects. 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 your background makes you a great fit for our team. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any cool data projects, don’t forget to mention them! Whether it's using Microsoft Fabric or Azure Data Factory, we love seeing real examples of your work and problem-solving skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates from us. Plus, it’s super easy!
How to prepare for a job interview at Mitie Cleaning & Hygiene Services
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft Fabric, Azure Data Factory, and Python. Brush up on your SQL skills too! Be ready to discuss how you've used these technologies in past projects, especially when it comes to building ETL/ELT pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or optimised system performance in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Understand Data Governance
Familiarise yourself with data governance standards and be prepared to discuss how you’ve maintained data integrity and audit readiness in your work. Highlight any experience you have with data dictionaries and lineage.
✨Communicate Effectively
Since strong communication skills are key for this role, practice explaining complex technical concepts in a simple, business-focused way. Think about how you can convey your ideas clearly to non-technical stakeholders during the interview.
