Data Engineer

83zero Limited; Greater London; Hybrid; GBP 65,000 - 75,000; Full time

Benefits offered by this job

25 Days Holiday

Bonus

Share Scheme

Health Insurance

Pension

Life Assurance

Job summary

83zero Limited in London is seeking a Data Engineer to join a hybrid delivery team. You’ll build scalable data pipelines using Azure Data Factory, Databricks and Azure SQL/SQL Server, and work with clients in financial services to transform data into actionable insights.

You will collaborate with technical teams to design robust data platforms and ensure data quality, security and governance across projects.

Qualifications

• Experience with Azure data environments and modern data platforms.
• Hands-on with Azure Data Factory, Azure Databricks and Azure SQL/SQL Server.
• Strong SQL and Python skills and familiarity with CI/CD in cloud projects.

Responsibilities

• Develop and maintain scalable data pipelines using Azure Data Factory.
• Build and manage ETL processes using SQL and Python.
• Work with Azure Databricks and Azure SQL/SQL Server for large datasets.
• Design data models with dimensional approaches and medallion architecture.
• Develop metadata-driven pipelines to improve automation.
• Collaborate with technical teams and clients to deliver data solutions.
• Maintain data quality, integrity and security throughout the lifecycle.

Skills

SQL

Python

Agile delivery

CI/CD

Tools

Azure Data Factory

Azure Databricks

Azure SQL / SQL Server

Azure DevOps

Job description

Data Engineer

London - Hybrid

£65,000 - £75,000

Azure Data / SQL / Financial Services

I'm currently working with a growing data and technology consultancy who are looking to bring a Data Engineer into their expanding delivery team. The business works with a range of organisations across telecommunications, financial services, insurance and healthcare, helping clients develop modern data platforms and turn complex data into valuable business insights.

Joining a client-facing consulting team, you'll have the opportunity to work across a variety of data engineering projects, with a strong focus on financial services. You'll be responsible for building, transforming and structuring large datasets, developing reliable data pipelines and supporting the delivery of data solutions for reporting, analytics and operational use.

You'll work closely with both technical teams and client stakeholders to understand requirements, design scalable solutions and deliver robust data platforms using modern Azure technologies. The company have offices in London and are looking for someone who is happy to work from the office 2 days per week.

Key Responsibilities

• Develop and maintain scalable data pipelines using Azure Data Factory.
• Build and manage ETL processes using SQL and Python.
• Work with Azure Databricks and Azure SQL / SQL Server to process and manage large datasets.
• Design and implement data models using Kimball, 3NF and dimensional modelling approaches.
• Develop metadata-driven pipelines to improve automation and efficiency.
• Work closely with technical teams and clients to understand data requirements and deliver effective solutions.
• Maintain high standards of data quality, integrity and security throughout the data lifecycle.

Experience Required

• Strong commercial experience working within Azure data environments.
• Hands-on experience with Azure Data Factory, Azure Databricks and Azure SQL / SQL Server.
• Strong SQL and Python skills.
• Previous experience working within Financial Services environments (Banks/Insurance/FinTech)
• Good understanding of modern data architectures, including medallion architecture.
• Understanding of cloud security, IAM and networking principles.
• Comfortable working within Agile delivery environments.
• Experience with CI/CD pipelines, ideally using Azure DevOps or similar.

Nice to Have

• Experience with Apache Airflow or dbt.
• Exposure to BigQuery / GCP.
• Azure or other cloud platform certifications
• Knowledge of data governance and data management frameworks
• Ideal experience working with financial data, regulatory reporting or risk-related datasets

Salary: £65,000-£75,000

Benefits

• 25 Days Holiday
• Bonus
• Share Scheme
• Health Insurance
• Pension
• Life Assurance