At a Glance
- Tasks: Lead data strategy and engineering to drive impactful decisions in a fast-growing energy tech company.
- Company: Join a dynamic team at Norman Broadband, shaping the future of energy technology.
- Benefits: Competitive salary, career progression, and the chance to work with cutting-edge data solutions.
- Other info: Opportunity to grow in a complex, innovative environment focused on renewable energy.
- Why this job: Make a real impact by transforming data into a competitive advantage in the energy sector.
- Qualifications: Strong background in data engineering, leadership skills, and experience with cloud platforms.
The predicted salary is between 66150 - 80850 £ per year.
Norman Broadband is partnering with a rapidly scaling company to look for a Data Engineering Manager. You’ll work closely with the company senior leadership team, in an environment where data is increasingly central to commercial decision-making. The business operates at the intersection of Energy, Technology and the transition to a more flexible electricity system. It is developing and operating utility-scale battery energy storage projects across Europe, with ambitious plans for further growth. This is an opportunity to have a genuinely outsized impact, taking ownership of the company's data capability and help build it into a genuine competitive advantage. You’ll be working with rich datasets relating to areas such as battery state of charge and health, electricity trading, alongside commercial and operational data. There is plenty to build, improve and integrate. There is also further career progression potential for the role to broaden significantly as the organisation grows.
Key Responsibilities of Data Engineering Manager:
- Data Strategy – shaping the roadmap for how the organisation captures, manages and uses data
- Data Engineering – developing scalable pipelines, ETL/ELT processes, integrations and data models
- Business Intelligence – overseeing Power BI, dashboards, semantic models and self-service analytics
- Stakeholder Partnering – working directly with senior leaders and colleagues across the business to turn commercial and operational requirements into useful data solutions
- Team Leadership – managing and developing a small team of Data Engineers and BI Specialists, including external resources where required
- Data Governance – establishing the standards, quality and processes needed as the business continues to scale
Key Qualifications & Skills of Data Engineering Manager:
- Degree in Computer Science, Information Systems, Engineering or a related discipline, or equivalent practical experience
- Strong data engineering experience, including SQL, Python, DBT, Snowflake and Airflow
- Experience building and maintaining ETL/ELT pipelines and data models
- Experience with Power BI / BI and ideally semantic models and self-service analytics
- Good understanding of data warehousing, business intelligence and reporting best practices
- Experience with cloud-based data platforms (Azure, AWS, or Google Cloud)
- Experience leading a team and delivering projects
- Equally comfortable with strategy and execution
- Strong stakeholder management and communication skills
- Experience in an environment characterised by growth, complexity and ambiguity
- Experience from Energy, Renewables, Infrastructure, Engineering, Construction or other technically complex environments
If you’re an experienced Data Engineering Manager who enjoys building, influencing and creating something from the ground up, we would love to hear from you!
Data Engineering Manager (Permanent) in Slough employer: Norman Broadbent Plc
Norman Broadband offers an exceptional work environment for a Data Engineering Manager, where you will play a pivotal role in shaping the data strategy of a fast-growing energy technology business. With a strong focus on employee development and career progression, you will have the opportunity to lead a talented team while working with cutting-edge technologies in a dynamic sector that is crucial for the transition to a more sustainable energy system. The collaborative culture and commitment to innovation make this an ideal place for professionals looking to make a meaningful impact.
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We think this is how you could land Data Engineering Manager (Permanent) in Slough
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We think you need these skills to ace Data Engineering Manager (Permanent) in Slough
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!
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Craft a Tailored Cover Letter:For a full-time role at Norman Broadbent Plc, 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 Norman Broadbent Plc. 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 Norman Broadbent Plc
✨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!
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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 Norman Broadbent Plc!
✨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.
