At a Glance
- Tasks: Design and develop modern data platforms using Microsoft technologies to unlock data value.
- Company: Join BCN, a leading tech company focused on innovation and client success.
- Benefits: Competitive salary, generous holiday allowance, health cash plan, and gym access.
- Other info: Enjoy a collaborative culture with opportunities for growth and fun social events.
- Why this job: Be at the forefront of data engineering and make a real impact across various sectors.
- Qualifications: Experience in data engineering with Microsoft Fabric and Azure; strong technical skills required.
The predicted salary is between 50000 - 65000 £ per year.
Location: Role can be based from either our Manchester, Leeds or Reading locations (Hybrid and remote working available)
Hours: Monday to Friday, 37.5 hours per week
Salary: Competitive + BCN benefits
About BCN
At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations.
Focus of the role
We are looking for a Data Engineer who is passionate about building modern data platforms and helping organisations unlock the value of their data. The successful candidate will play a key role in designing, developing and optimising data solutions using Microsoft Fabric and Azure technologies, enabling our clients to make better decisions and drive meaningful business outcomes.
Responsibilities
- You will take ownership of the design, development and delivery of data engineering solutions, working closely with clients, project teams and technical specialists to ensure successful project outcomes and deliver measurable business value.
- The role will have a strong focus on designing and building modern ETL and ELT pipelines, implementing scalable data models and developing high-performing data platforms within Microsoft Fabric and Azure.
- You will be responsible for data ingestion, transformation and orchestration processes, ensuring solutions are reliable, secure, maintainable and aligned to client requirements.
- You will collaborate closely with Power BI developers, AI specialists and wider delivery teams to create data platforms that support both analytical and operational business needs.
- This includes designing semantic models, implementing medallion architecture patterns, supporting data governance initiatives and ensuring solutions are optimised for performance and scalability.
- As a client-facing consultant, you will work directly with stakeholders to understand business challenges, gather and refine requirements, and translate these into effective technical solutions.
- You will facilitate discovery activities, contribute to solution architecture and design decisions, participate in workshops, and provide trusted advice on data strategy, platform architecture, security, governance and DevOps best practices.
- You will be expected to communicate complex technical concepts clearly to both technical and non-technical audiences, helping clients make informed decisions and maximise the value of their data investments.
- You will also contribute to pre-sales and solution-shaping activities, supporting proposals, providing technical input during customer discussions, and helping identify opportunities to extend and enhance client data capabilities.
Qualifications
- We are looking for an experienced Data Engineer who is comfortable working independently and within multidisciplinary project teams, with a strong foundation in modern cloud-based data platforms and a passion for delivering high-quality solutions for clients.
- You will bring proven experience designing and implementing data engineering solutions using Microsoft Fabric and Microsoft Azure, including developing data pipelines, data transformation processes and scalable analytical data models.
- Strong experience with ETL/ELT development, data warehousing concepts, dimensional modelling methodologies and modern data architecture patterns is essential.
- You will possess strong technical skills across T-SQL, Python and PySpark, with experience developing robust data processing solutions and optimising performance across databases, transformation workloads and data platforms.
- Experience with CI/CD practices, Azure DevOps and Git-based development workflows is also highly desirable.
- Experience delivering solutions using Microsoft Fabric, including components such as Lakehouse, Warehouse, Data Factory Pipelines, Dataflow Gen2 and Notebooks.
- Experience working within deployment pipelines and modern DevOps processes would be advantageous.
- You will also demonstrate a solid understanding of data quality, governance and security principles, including metadata management, lineage, role-based access control and data protection requirements.
- Strong communication skills are essential, with the ability to translate business requirements into technical solutions, facilitate technical discussions with stakeholders and produce clear technical documentation.
Why BCN?
- The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy.
- Competitive salary with the ability to progress.
- 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more!
- Company pension scheme.
- 2 paid leave days per year to volunteer and support your local community.
- Health cash plan with free access to a confidential Employee Assistance Programme (EAP).
- Life assurance.
- Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts.
- Free on-site gym at our Manchester and Leeds locations.
- Long service recognition to celebrate all the milestones.
- Social events such as Summer BBQ, Christmas party and lots more!
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨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 bcngroup!
✨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 bcngroup.
✨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 bcngroup.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at bcngroup, 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 Manchester
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 bcngroup, 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 bcngroup. 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 bcngroup
✨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 bcngroup!
✨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.
