At a Glance
- Tasks: Design and maintain scalable data platforms for analytics and machine learning.
- Company: Join Airband, a dynamic broadband provider reshaping connectivity across the UK.
- Benefits: Competitive salary up to £70,000, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make a real impact on data-driven projects that enhance connectivity in underserved communities.
- Qualifications: Experience in data engineering, Python coding, and cloud infrastructure is essential.
The predicted salary is between 65000 - 70000 £ per year.
Location: Midlands
Job Type: Full-Time 40 hours per week, Monday to Friday.
Salary: Up To £70,000 Per Annum DOE
At Airband, we’re building more than broadband networks, we’re helping reshape connectivity across the UK. Originally established to tackle the digital divide in rural and underserved communities, Airband has grown into a dynamic broadband provider delivering services through Fibre, Fixed Wireless Access (FWA) and wholesale network partnerships.
Role Summary
The Senior Data Engineer is responsible for designing, building, and maintaining scalable data platforms and pipelines that enable reliable analytics, reporting, machine learning, and operational decision-making. This role combines strong software engineering skills with deep expertise in data architecture, cloud infrastructure, and data governance. The role will work closely with data analysts, systems, IT, and architecture teams on system and data connectivity, extraction, security, and governance.
Responsibilities
- Design, develop, and maintain ETL and ELT pipelines.
- Write efficient, maintainable Python code using industry-standard libraries, PySpark, and Spark.
- Build and manage data ingestion integrations, including APIs and Databricks Lakeflow Connect.
- Manage pipelines end to end: setup, monitoring, troubleshooting, optimisation, and issue resolution.
- Perform data cleansing, transformation, and validation to ensure high data quality.
- Guide the Data Analysts in creating performant SQL queries, views, and materialised views with efficient use of memory and compute.
- Present data in analytics-ready formats to support reporting and advanced analysis.
- Lead and contribute to Databricks (Azure) platform administration and engineering best practices.
- Monitor and optimise the performance of pipelines, tasks, and databases to ensure cost-effective use of compute and storage.
- Support system updates, tooling upgrades, and ongoing platform improvements.
- Work with systems, IT, and architecture teams on system and data connectivity, extraction, security, and governance.
- Implement and maintain appropriate security measures and access controls.
- Support compliance with data governance and data management standards.
- Collaborate closely with Data Analysts, guiding and mentoring them to support their technical growth.
- Support the Manager in team development, process improvement, and platform planning.
- Provide data expertise for business-wide projects as they are planned and delivered.
- Maintain awareness of new Databricks features, Azure services, and best practices to maximise efficiency and capability.
- Demonstrate a strong interest in AI and emerging data technologies, exploring practical applications within and beyond Databricks.
- Apply critical thinking, analytical reasoning, and innovative problem-solving to overcome technical challenges.
Key Skills
- Excellent written and verbal communication
- Effective time management and prioritisation
- Strong problem-solving skills
- Attention to detail and accuracy
- Ability to work independently and collaboratively as part of a wider Airband team
- Embraces change, is adaptable and is willing to learn
- Customer/user-focused mindset
- Continuous improvement mindset
- Planning and organisational skills
- Competent use of Microsoft 365 tools
- Embraces diversity
- Emotional intelligence and professionalism
Senior Data Engineer employer: Airband Community Internet
At Airband, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and mentorship, particularly for roles like the Senior Data Engineer, where you can make a tangible impact on connectivity in underserved communities. Located in the Midlands, we provide a supportive environment that values diversity and encourages a customer-focused mindset, making it a rewarding place to advance your career while contributing to meaningful projects.
Contact Details:
Airband Community Internet Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your past experiences and how they relate to the role at Airband.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining the Airband team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with ETL/ELT pipelines, Python coding, and any relevant cloud infrastructure work. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at Airband. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in data architecture and analytics. We’re keen to see your hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Airband Community Internet
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python, PySpark, and Databricks. Be ready to discuss your experience with ETL/ELT pipelines and how you've tackled data quality issues in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've approached complex data challenges. Think about specific instances where your analytical reasoning made a difference, and be ready to explain your thought process during the interview.
✨Communicate Clearly and Effectively
Since this role involves collaboration with various teams, practice articulating your ideas clearly. Use simple language to explain complex concepts, and don’t hesitate to ask clarifying questions if something isn’t clear.
✨Demonstrate Your Continuous Learning Mindset
Stay updated on the latest trends in data engineering and AI technologies. Mention any recent courses or certifications you've completed, and express your enthusiasm for learning new tools and techniques that can benefit the team.
