Overview
DATA ENGINEER — 12 month Fixed Term Contract. Join our growing Data & Analytics team and help shape the future of data-driven decision making across the business.
Hours: 35 hours per week. Shift pattern: Monday to Friday 09:00-17:00. Salary: from £55,000 per annum depending on experience. Location: Remote but with occasional travel to our offices in New Milton and Norwich. This role is UK-based and any hybrid/remote work must also be within the UK. Start Date: March 2026.
Appello Perks include holiday allowance, private medical insurance, discounts on various services, 24/7 employee assistance programme, family and friends discounts, pension scheme, and 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. You’ll contribute to a modern Azure-based architecture centered on Azure Data Lake Storage (ADLS) and Azure Synapse Analytics, 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
Data Solutions Development & Management
- 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: Please upload your CV and answer a few questions about yourself.
Other Information
This is an exciting time at the Appello group. 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, please contact the Careers Team on .
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