At a Glance
- Tasks: Join us as a Senior Data Engineer, developing digital tools and data infrastructure for exciting projects.
- Company: Mace, a leading consultancy redefining construction with innovation and expertise.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Inclusive workplace that values safety, client focus, and continuous improvement.
- Why this job: Make a real impact in a dynamic environment while learning from industry experts.
- Qualifications: 2+ years in data engineering, strong SQL skills, and experience with Microsoft Azure.
The predicted salary is between 55000 - 65000 £ per year.
Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join us on our journey.
The role is for a data engineer specializing in the Microsoft cloud data stack. It is a client-facing role supporting fee-earning projects and programmes. The principal responsibility of the role is to contribute to the development of digital tools, processes and outputs, including the data infrastructure underpinning all BI activity, that support the wider project team and enable effective delivery of projects for our clients.
As part of your role, you will interface with the Mace project team and occasionally stakeholders from other organizations, if working on a joint venture project or directly for a client. You will be part of the Digital Centre of Excellence community, sharing knowledge and experience with other BI and Data professionals. This is an excellent opportunity to learn from experienced practitioners and further develop your technical skill set.
You’ll be responsible for:
- An expert understanding of the SQL language is a requirement of the role.
- Experience with Microsoft Azure and Fabric ecosystem.
- Proficient in developing data pipelines and orchestration.
- Expert understanding of data integration methods and tools.
- Solid understanding of ELT/ETL, medallion architecture and Lakehouse design principles.
- Hands-on with building data warehouses and data marts.
- Exposure to Azure DevOps for CI/CD and deployment.
- Expert in the following languages: SQL, Python, PowerShell, DAX, M.
- Knowledge of the modern data engineering lifecycle and best practices.
- Ability to work within an agile framework.
You will be expected to work with Microsoft’s Fabric platform, principally within the data engineering and data warehousing workflows. You will work independently within your role as part of a development team, being responsible for all data engineering and data platform assets. You will interface with other digital professionals and ensure that the BI development team have timely access to all required data to support project activity.
You will be expected to adhere to a structured development lifecycle that includes requirements definition, design, development and testing, user acceptance testing, deployment, handover and post-implementation support. You will be expected to attend all training and other sessions organized by the centre of excellence, as well as keeping your knowledge of the industry up to date through self-endeavour and structured training as directed.
You’ll need to have:
- A minimum of 2 years’ experience with data engineering tools is expected, of which at least one year should align with the Microsoft cloud data stack.
- Any experience with Microsoft Fabric in the last 12 months would be considered highly desirable.
- You hold a DP-600 or DP700 (Fabric Data Engineer) certification from Microsoft.
- A good working knowledge of Microsoft’s productivity suite, including SharePoint, Teams and Office 365.
- Knowledge of good data structure.
- Understanding of data security.
- Effective management of version control throughout the development process.
- Evidence of organized ways of working to manage deliverables to time and quality.
- Understanding of working in a consultancy environment and management of stakeholders including clients, colleagues and data owners.
Our values:
- Safety first - Going home safe and well: We champion a safe, diverse and inclusive working environment, understanding the importance of wellbeing in every team.
- Client focus - Deliver on our promise: We own the quality of deliverables, strategic outcomes and build long term relationships with our clients.
- Integrity - Always do the right thing: We influence positive outcomes within our industry, while always aligning with our compliance obligations.
- Create opportunity - For our people to excel: We champion a continuous improvement culture throughout all activities, inspiring our people and teams to develop.
Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all the criteria, please apply as you may still be the best candidate for this role or another role within our organisation. We are also open to discussing part time, flexible, and hybrid working options if suitable within the role.
Senior Data Engineer in Birmingham employer: Mace
Mace is an exceptional employer that fosters a culture of safety, integrity, and client focus, making it an ideal place for a Senior Data Engineer to thrive. With a commitment to continuous improvement and professional development, employees benefit from access to a wealth of knowledge within the Digital Centre of Excellence, as well as opportunities for flexible working arrangements. Located in a dynamic environment, Mace encourages collaboration and innovation, ensuring that every team member can contribute meaningfully to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Birmingham
✨Tip Number 1
Network like a pro! Reach out to current employees at Mace on LinkedIn or through industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills in interviews! Prepare to discuss your experience with the Microsoft cloud data stack and be ready to share specific examples of how you've tackled data engineering challenges. We want to see your expertise shine!
✨Tip Number 3
Don’t just apply and wait! Follow up on your application through our website. A quick email expressing your enthusiasm can keep you on the radar and show that you're genuinely interested in the role.
✨Tip Number 4
Stay updated on industry trends! Being knowledgeable about the latest in data engineering and Microsoft tools will not only help you in interviews but also show that you're committed to continuous learning, which is a big plus for us.
We think you need these skills to ace Senior Data Engineer in Birmingham
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in SQL and the Microsoft cloud data stack. We want to see how your experience aligns with the role, so don’t hold back on showcasing your technical skills!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your past experiences relate to the responsibilities listed in the job description. This helps us see why you’re the perfect fit for our team!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your points are easy to understand and directly relevant to the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Mace
✨Know Your Tech Inside Out
Make sure you have a solid grasp of the Microsoft cloud data stack, especially SQL and Azure. Brush up on your knowledge of ELT/ETL processes and be ready to discuss how you've applied these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering. Think about specific instances where you developed data pipelines or improved data integration methods, and be ready to explain your thought process.
✨Understand the Consultancy Environment
Since this role involves client interaction, be prepared to discuss your experience working with stakeholders. Highlight any previous consultancy roles and how you managed client expectations and relationships.
✨Emphasise Continuous Learning
Mace values ongoing development, so share how you keep your skills sharp. Mention any recent training, certifications like DP-600 or DP-700, or self-directed learning you've undertaken to stay current in the field.