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    • Senior data pipeline engineering experience: demonstrable hands-on track record designing, building and operating telemetry/observability data pipelines at…
    • Design, implement, and optimise data warehouses and data lakes in Azure, ensuring high availability and security.
    • Mentoring and coaching other engineers to support their professional development.
    • Lead the production of user-centred data software based on business…
    • Strong capability in data modelling and data warehousing.
    • Minimum of 10 years’ experience in data engineering, data warehousing or database development.
    • Strong data modelling and problem-solving skills.
    • Experience improving data quality, governance and reporting capability.
    • Contract term: Permanent, full-time*.
    • You'll work closely with product owners, platform engineers, data scientists, and analysts to understand evolving data needs and ensure efficient, well-designed…
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    • The Enterprise Data Engineer, whilst having core skills to deliver data and analytical solutions on our analytics and big data platform, will also act as a…
    • Strong experience with data pipeline development and data infrastructure design.
    • Collaboration with cross-functional teams including data analysts, engineers…
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    • Take ownership for designing, building and maintaining data solutions.
    • In this role, you will be at the forefront of designing, implementing, and optimizing…
    • Demonstrable hands-on data engineering background, with significant experience designing and operating cloud-native data platforms in production.
  • View similar jobs with this employer
    • Take ownership for designing, building and maintaining data solutions.
    • In this role, you will be at the forefront of designing, implementing, and optimizing…
    • You will spend time designing, planning and building data integrations, data pipelines & data platforms.
    • Re-engineer manual data flows to enable scaling and…
    • They're looking for a strong, hands-on engineer (5+ years) with experience in big data / distributed systems and modern data platforms.
    • You'll also lead the consolidation of multiple legacy data sources into a single, scalable data warehouse helping to improve data quality, governance and…
    • Data engineer: 2 years (required).
    • Experience with cloud data platforms (Azure preferred) and modern data tooling.

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Job Post Details

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Azure Data Engineer - job post

Spait Infotech Private Limited
Manchester•Remote
£55,000 - £95,000 a year - Permanent, Full-time

Benefits

Pulled from the full job description

  • Work from home

Full job description

Job Description – Azure Data Engineer (Remote, UK)

Employment Type: Full-time, Permanent
Location: Remote (UK-based)
Eligibility: Must have the legal right to work in the United Kingdom
Experience Required: 3 to 12 years

Key Responsibilities

  • Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, and related Azure services.
  • Develop and optimize ETL/ELT processes for structured and unstructured datasets.
  • Implement data ingestion from multiple sources (APIs, databases, streaming, third-party systems).
  • Build and optimize data models, data warehouses, and lakehouse architectures.
  • Work with architects to design robust cloud data solutions aligned with business needs.
  • Ensure data quality, data governance, and metadata standards are consistently met.
  • Monitor and enhance performance of data pipelines, storage, and compute workloads.
  • Implement scalable and cost-efficient cloud data solutions following Azure best practices.
  • Work closely with data analysts, BI developers, product teams, and business stakeholders.
  • Translate business requirements into technical specifications and deliverables.
  • Contribute to solution design sessions, architecture reviews, and technical discussions.
  • Implement data security best practices, including role-based access control and encryption.
  • Ensure compliance with relevant governance standards (GDPR, internal policies, etc.).

Required Skills & Experience (3–12 Years)

Candidates can be considered at junior-mid, mid-senior, or senior level depending on experience.

Technical Skills

  • Strong hands-on experience with Microsoft Azure data services, ideally including:
  • Azure Data Factory (ADF)
  • Azure Databricks / PySpark
  • Azure Synapse Analytics
  • Azure Data Lake Storage (ADLS)
  • Azure SQL / SQL Server
  • Proficiency in SQL and at least one programming language (Python preferred).
  • Solid experience building batch and/or streaming data pipelines.
  • Experience with data modelling, ETL/ELT, and modern data warehousing.
  • Knowledge of CI/CD for data workloads (e.g., Azure DevOps, Git).

Job Types: Full-time, Permanent

Pay: £55,000.00-£95,000.00 per year

Benefits:

  • Work from home
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