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- Tasks: Join our Data & Analytics team to design and deliver high-performance data solutions in Azure.
- Company: Appello UK, a forward-thinking company focused on data-driven decision making.
- Benefits: Enjoy 175 hours of holiday, private medical insurance, and discounts on various services.
- Why this job: Shape the future of data engineering and make a real impact in a growing company.
- Qualifications: 5+ years as a Data Engineer with strong SQL and Azure experience.
- Other info: Remote work with occasional travel; excellent career growth opportunities await!
The predicted salary is between 55000 - 77000 £ per year.
Join our growing Data & Analytics team and help shape the future of data-driven decision making across the business.
12 month Fixed Term Contract
Hours: 35 hours per week
Shift pattern: Monday to Friday 09:00-17:00
Salary: from £55,000 per annum dependant on experience
Location: Remote but with occasional travel to our offices in New Milton and Norwich. This role is a UK based role and any hybrid/remote work must also be within the UK.
Start Date: January/February 2026
For this role, you need 5mbps upload and 15mbps download internet speed.
Appello Perks:
- 175 hours holiday pa.
- Private Medical Insurance - Individual Cover
- Discounts on groceries, shopping, holidays, insurance, days out, restaurants and more
- 24/7 employee assistance programme with an easily accessible app!
- Family and friends’ discounts on our services & products
- Pension Scheme, up to 4% Company matched
- Free on-site parking
What We Are Looking For:
We’re looking for a skilled Data Engineer who can design and deliver scalable, high-performance data solutions in Azure. If you’re passionate about building modern data platforms and optimising data flows, this role is for you.
Essential Experience:
- 5+ years as a Data Engineer or SQL Developer.
- Advanced SQL development and performance tuning on large datasets.
- Hands-on experience with Azure data services (ADLS, Synapse Pipelines/Data Factory).
- Proven ability to design and deliver ELT pipelines and scalable data models.
- Experience ingesting data from multiple systems (APIs, files, databases).
- Working knowledge of data governance, GDPR, and secure handling of PII.
Desirable Experience:
- Experience with Synapse Serverless/Dedicated SQL and lakehouse architectures.
- Exposure to Dynamics 365, Node.js, and Python for automation or transformation.
- Familiarity with CI/CD, Git, and Azure DevOps.
- Experience with IoT/telemetry or time-series data ingestion.
- API integration experience (REST/Webhooks).
Qualifications:
- Degree in Computer Science, Data Engineering, or equivalent industry experience.
- Strong grounding in SQL, data modelling, and cloud data engineering principles.
- Understanding of UK GDPR and secure handling of PII.
- Bonus: Azure certifications (e.g., DP-203, Azure Data Engineer Associate), training in Synapse, ADLS, or Data Factory.
Skills & Knowledge:
- Advanced SQL and performance optimisation.
- Strong knowledge of Azure data services and scalable ELT design.
- Understanding of APIs, ingestion patterns, and integration methods.
- Familiarity with version control (Git) and modern engineering best practices.
- Bonus: Python, Dynamics 365 data structures, lakehouse architecture, CI/CD, and IoT data processing.
Personal Attributes:
- Clear communicator, able to explain technical concepts to non-technical audiences.
- Highly organised with strong attention to detail.
- Practical problem-solver with an ownership mindset.
- Proactive, self-motivated, and comfortable working independently or collaboratively.
- Positive attitude and curiosity about modern cloud data engineering patterns.
The Role:
As a Data Engineer, you’ll play a critical role in building and optimising the core data platform that powers Appello’s reporting, analytics, and operational intelligence. Sitting within our dedicated data engineering team, you’ll help shape and enhance a modern Azure-based architecture centred on Azure Data Lake Storage (ADLS) and Azure Synapse Analytics. Your focus will be on designing and developing scalable ELT pipelines, curated data models, and efficient SQL-based transformations that ingest, process, and standardise data from multiple business systems into governed lakehouse layers. You’ll ensure our data estate is secure, performant, and well-structured, ready to support analytical and operational use cases across the organisation. This is a fantastic opportunity to work at the heart of our data strategy, enabling innovation and driving a data-driven culture across the business.
What You’ll Be Doing:
- Design, build, and maintain Azure Data Lake layers (Bronze/Silver/Gold) and Synapse-based data models.
- Develop and optimise ELT pipelines using Azure services like Synapse Pipelines, Data Factory, Serverless SQL, and Notebooks.
- Build robust ingestion frameworks for batch and incremental data loads across internal and external systems.
- Create and manage Synapse SQL pools (Serverless and Dedicated) for high-performance analytical querying.
- Write efficient SQL to model, cleanse, and transform large datasets at scale.
- Implement metadata, schema, and data quality frameworks to ensure consistency and compliance.
- Version-control all engineering assets using Git and maintain clear technical documentation.
Integration & API Engineering:
- Support system integrations via APIs, webhooks, and scheduled data pulls.
- Ensure smooth data movement between operational systems and downstream reporting tools.
- Collaborate with application owners to ensure secure and optimised data exchange.
Governance, Security & Compliance:
- Implement and maintain access controls, encryption, and PII protections across ADLS and Synapse.
- Ensure compliance with UK GDPR and internal governance standards.
- Champion data quality, lineage, and engineering best practices across the organisation.
Advisory & Technical Leadership:
- Act as a subject matter expert in Azure data engineering, Synapse, and scalable data architecture.
- Provide guidance to analysts, engineers, and business teams on best practices, performance tuning, and optimisation.
- Support operational continuity by responding to business-driven data requirements.
Ready to Apply:
If you are interested in this role please upload your CV and answer a few questions about yourself.
Other Information:
This is an exciting time at the Appello group - we are a company on the move and now is a perfect time to join our team. You’ll gain exceptional career opportunities and will be part of a company that is continuing to expand. We are committed to equal opportunities and welcome applicants regardless of religious beliefs, political opinion, race, sex, marital status, age or disability. If you require assistance to participate in the recruitment process, for example due to disability, please contact the careers Team on 01425 626337.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Appliances, Electrical, and Electronics Manufacturing
Data Engineer in New Milton employer: Appello UK
Contact Detail:
Appello UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in New Milton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 data engineering projects, especially those involving Azure services. This gives you a chance to demonstrate your expertise and makes you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Azure knowledge. Practice common data engineering problems and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Appello.
We think you need these skills to ace Data Engineer in New Milton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure data services and SQL development, as these are key for us. Use specific examples that showcase your skills in building scalable data solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Mention any relevant projects or experiences that align with our needs, especially around ELT pipelines and data governance.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. We’re looking for advanced SQL, Azure services, and experience with APIs. Make sure these stand out so we can see how you fit into our data-driven culture.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates. Plus, it’s super easy!
How to prepare for a job interview at Appello UK
✨Know Your Tech Inside Out
Make sure you brush up on your Azure data services knowledge, especially ADLS and Synapse. Be ready to discuss your experience with ELT pipelines and how you've optimised data flows in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges. Think about specific instances where you designed scalable data models or improved performance tuning on large datasets.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You might be asked to describe your work to non-technical team members, so being able to break it down is key.
✨Be Ready for Scenario Questions
Expect questions that put you in real-world situations, like how you'd handle data governance or ensure compliance with GDPR. Think through your approach and be prepared to discuss your thought process.
