Data Engineer in Birmingham

Data Engineer in Birmingham

Birmingham Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Mace

At a Glance

  • Tasks: Design and develop scalable data solutions using Microsoft Azure and transform data from various sources.
  • Company: Mace, a leader in construction consultancy with a focus on innovation and inclusivity.
  • Benefits: Flexible working options, competitive salary, and a commitment to your professional growth.
  • Other info: Collaborative environment with opportunities for career advancement and continuous improvement.
  • Why this job: Join a dynamic team making a real impact on data-driven decision-making and sustainability.
  • Qualifications: Experience in data engineering and a passion for innovative technology solutions.

The predicted salary is between 63000 - 77000 £ 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.

Responsible for extending and supporting the data lake and data warehouse that underpin reporting and analytics solutions within the corporate Digital team by ingesting, integrating and transforming data from multiple sources. The Data Engineer will work collaboratively with data architects, analysts, business SMEs, Digital project teams and technology partners to translate business and data requirements into reliable, scalable and maintainable technical solutions. This role will also support the transition of data engineering deliverables into operational service, ensuring that solutions are developed with data quality, security, governance, performance, long-term support and continuous improvement in mind.

You’ll be responsible for:

  • Data engineering, design and development: Design, develop and maintain scalable, reliable and efficient data pipelines, dataflows and data engineering solutions using Microsoft Azure data services and related technologies. Integrate and transform data from multiple structured and unstructured sources to support trusted reporting, analytics and business data products. Develop robust end-to-end systems with long-term maintenance, supportability, scalability and performance in mind. Collaborate with the data architecture team to understand, assess and implement changes to data architecture, information architecture and platform design. Translate business, reporting and analytical requirements into appropriate technical designs, data models and integration patterns.
  • Data integration, quality and performance: Building and optimise ETL/ELT processes, queries, dataflows and data models to improve performance, reliability and efficiency. Managing and secure the flow of data across the data platform, ensuring appropriate controls are applied to sensitive or business-critical information. Supporting the implementation of data quality, data governance and engineering best practices across data pipelines and analytical solutions. Supporting Data Analysts and the wider self-service community by providing reliable, well-structured data assets for dashboards, reports and analytical use cases.
  • Security, governance and service transition: Ensuring data engineering development follows secure software development principles, including coding standards, testing, peer review, version control and controlled promotion between environments. Engaging with IT Service Management to transition data engineering deliverables successfully into service provision and ongoing operational support. Maintaining up-to-date knowledge of relevant technology platforms, emerging Azure services, Microsoft Fabric capabilities and data engineering practices, evaluating opportunities to improve the data platform where appropriate. Working collaboratively towards the common goal of net zero carbon transition, sharing responsibility for the proactive identification and management of associated carbon emissions and reductions during the delivery of work.

You’ll need to have:

  • Tracking record of delivering well-engineered data solutions using good engineering practices, including testing, CI/CD, peer review, documentation, source control and appropriate release management.
  • Experiencing working in a similar role on large projects or programmes, ideally involving multiple systems, stakeholders and data domains.
  • Full project lifecycle experience, from requirements and design through to development, testing, deployment, service transition and operational support.
  • Knowledge of IT Service Management based on ITIL practices.

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.

Data Engineer in Birmingham employer: Mace

Mace Construct Limited is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. With a strong commitment to employee development, we provide ample opportunities for growth and advancement within our Public, Science & Technology Business Unit, ensuring that our team members are equipped with the skills and knowledge needed to excel in their roles. Our culture prioritises safety, quality, and continuous improvement, making it a rewarding place for professionals seeking to make a meaningful impact in the hyperscale data centre sector.

Mace

Contact Details:

Mace Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Birmingham

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Mace!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Mace.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mace.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer at Mace, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineer in Birmingham

SQL
Python
Problem-Solving Skills
Communication Skills
Automation
Data Governance
Data Engineering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Mace, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mace. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Mace

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mace!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.