Job Description

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DATA ENGINEER

Join our growing Data & Analytics team and help shape the future of data-driven decision making across the business.

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12 month Fixed Term Contract

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?Hours:

35 hours per week

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Shift pattern: Monday to Friday 09:00-17:00

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Salary: from 55,000 per annum dependant on experience

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Location: Remote but with occasional travel to our offices in New Milton and Norwich

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This role is a UK based role and any hybrid/remote work must also be within the UK.

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Start Date : March 2026

For this role, you need 5mpbs upload and 15mpbs download internet speed

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Appello Perks

175 hours holiday pa. Private Medical Insurance - Individual Cover We offer you discounts on everything from groceries and shopping through to 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
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WHAT WE ARE LOOKING FOR

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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.

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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.
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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).
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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.
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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.
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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.
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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.

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?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.
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READY TO APPLY

If you are interested in this role please upload your

CV

and answer a few questions about yourself

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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.