At a Glance
- Tasks: Develop and optimise data platforms to support analytics and reporting.
- 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 decisions.
- Qualifications: Strong SQL skills and experience with data ingestion and transformation.
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) 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 dynamic environment, we offer competitive benefits and a supportive atmosphere that empowers our Data Engineers & Analysts to thrive and make a meaningful impact on our business operations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer & Analyst (nexfibre)
✨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 who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, data pipelines, or any projects you've worked on. This is your chance to demonstrate your expertise in data ingestion and transformation, so make it shine!
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with our needs in data governance and BI solutions.
✨Tip Number 4
Prepare for interviews by brushing up on your knowledge of Azure services and CI/CD tooling. Be ready to discuss how you’ve implemented data quality checks or worked with data models. Confidence is key, so practice makes perfect!
We think you need these skills to ace Data Engineer & Analyst (nexfibre)
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 tackled complex queries and optimised performance in your past projects. Don't just say you have these skills; give us examples!
Talk About Data Ingestion and Transformation:We’re keen on your experience with data ingestion, transformation, and cleansing. Share specific instances where you’ve designed or implemented these processes, especially if you’ve worked with Azure services or similar technologies.
Demonstrate Your Collaboration Skills:Since this role involves working closely with various teams, let us know about your cross-functional collaboration experiences. Tell us how you’ve built relationships and communicated effectively with different stakeholders to meet business needs.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
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 ready to discuss complex queries you've developed and how you've optimised them in past projects. Practising some real-world scenarios can help you articulate your experience effectively.
✨Showcase Your Data Ingestion Experience
Prepare to talk about your experience with data ingestion and transformation. Have specific examples ready where you've designed ingestion processes or worked with APIs. This will demonstrate your hands-on experience and understanding of the role's requirements.
✨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 previous roles. This shows that you take data integrity seriously, which is crucial for the position.
✨Highlight Your Collaboration Skills
Since this role involves cross-functional collaboration, think of examples where you've worked closely with other teams. Discuss how you built relationships and communicated insights effectively. This will show that you're not just a technical expert but also a team player.
