At a Glance
- Tasks: Develop and optimise data platforms to support analytics and decision-making.
- Company: Join nexfibre, a forward-thinking company focused on data innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and AI initiatives.
- Why this job: Make a real impact by enhancing data capabilities and driving business insights.
- Qualifications: Strong SQL skills, experience with data pipelines, and familiarity with Azure services.
The predicted salary is between 45000 - 55000 € per year.
Requirements
- Strong SQL skills, including optimisation and complex query development
- Experience in data ingestion, transformation and cleansing
- Experience supporting BI solutions
- Understanding of data governance, protection and data quality methodologies
- Familiarity with scripting languages such as Python
- Familiarity with GIS data
- Experience using CI/CD tooling (Azure DevOps or GitHub)
- Experience developing pipelines using Microsoft Fabric (Data Factory, Dataflows, Lakehouse, Warehouse) or similar technologies
- Working knowledge of medallion architecture and Delta lakehouse patterns
- Experience with Azure data services (Azure Storage, Data Factory, Logic Apps, Azure Functions)
What the job involves
The Data Engineer & Analyst is responsible for developing, maintaining and optimising nexfibre’s data platforms and data engineering capability to support analytics, reporting and operational decision-making. The role ensures that data is ingested, transformed and managed to a high standard, delivering clean, reliable and well-structured datasets for use across the business. Working closely with the BI Manager and the Asset and Network Data Senior Manager, the postholder ensures strong alignment between data engineering outputs and business intelligence requirements.
Data Engineering
- Develop and maintain end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows, Lakehouse, Warehouse and Pipelines)
- Implement data storage, modelling and processing aligned to defined architecture principles
- Manage data within OneLake, Delta Lake and Azure storage services
- Ensure appropriate pipeline monitoring, scheduling and documentation in collaboration with the BI Manager and Asset and Network Data Manager where downstream reporting impacts are identified
Data Ingestion and Integration
- Design and implement ingestion processes for internal systems, APIs, external partners and third-party data providers
- Integrate structured and semi-structured data using Azure Functions, Logic Apps and Fabric Data Factory
- Work with the BI Manager to ensure ingestion patterns support the organisation’s reporting and analytics strategy
- Apply robust patterns for incremental ingestion, schema management and change data capture processes
Data Quality and Governance
- Apply data validation, cleansing, standardisation and deduplication routines
- Implement automated data quality checks and profiling activities
- Liaise with the BI Manager, Asset and Network Data Manager and data owners to resolve data quality issues impacting dashboards, reporting or analytics outputs
- Ensure all data solutions comply with governance and UK data protection requirements
Data Modelling and Analytics Support
- Provide structured datasets to support business reporting in partnership with the BI Manager and Asset and Network Data Manager
- Ensure consistent definitions, measures and modelling standards across reporting tools
- Support in troubleshooting data model performance issues where required
Cross-Functional Collaboration
- Work closely with the data team and wider business teams to understand reporting and analytics requirements
- Build strong relationships with Finance, Operations, Network and other business functions
- Provide clear analysis and insights to support operational and strategic decision making
Continuous Improvement
- Lead AI initiatives within the nexfibre infrastructure, working alongside the Technical Lead to implement initiatives that will enhance organisational efficiency
- Identify and recommend improvements to data architecture, automation, governance and cost management
- Collaborate with the BI Manager to improve reporting processes, BI tooling usage and data accessibility
- Monitor developments in data technologies and assess their applicability to the organisation
Data Engineer & Analyst (nexfibre) in London employer: Deepstreamtech
At nexfibre, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and the chance to lead cutting-edge AI initiatives within our data infrastructure. Located in a vibrant area, we offer a supportive environment where your contributions directly impact our analytics and operational decision-making, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer & Analyst (nexfibre) in London
✨Tip Number 1
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 works in data engineering. You never know when a casual chat could lead to your next job opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, data pipelines, or any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company and mention how your experience with Azure services or data governance aligns with their needs. It shows you’re genuinely interested and not just sending out generic applications.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the extra step to engage with us directly. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you on board!
We think you need these skills to ace Data Engineer & Analyst (nexfibre) in London
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your strong SQL skills in your application. We want to see how you've optimised queries and tackled complex data challenges in the past. Don't hold back on sharing specific examples!
Talk About Your Data Experience:We’re keen to know about your experience with data ingestion, transformation, and cleansing. Share any projects where you’ve supported BI solutions or worked with data governance methodologies. This is your chance to shine!
Mention Your Tech Stack:If you’re familiar with scripting languages like Python or have experience with Azure data services, let us know! Mentioning tools like Microsoft Fabric and CI/CD tooling will definitely catch our eye.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Deepstreamtech
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and optimisation techniques, as these are crucial for the role. Practising real-world scenarios can help you articulate your thought process during the interview.
✨Showcase Your Data Pipeline Experience
Be ready to talk about your experience with data ingestion and transformation. Highlight any projects where you've developed end-to-end data pipelines using Microsoft Fabric or similar technologies. Sharing specific examples will demonstrate your hands-on expertise.
✨Understand Data Governance and Quality
Familiarise yourself with data governance and quality methodologies. Be prepared to discuss how you've implemented data validation and cleansing routines in past roles. This shows that you understand the importance of delivering clean and reliable datasets.
✨Collaborate and Communicate
Since this role involves cross-functional collaboration, think of examples where you've worked closely with other teams. Emphasise your ability to build relationships and communicate effectively, especially with BI managers and other stakeholders. This will highlight your teamwork skills.
