Sr. Data Engineer

Technopride Ltd; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading technology solutions company based in the UK is seeking an experienced Senior Data Engineer. This role involves designing and maintaining data engineering solutions to enhance data distribution and accessibility. Candidates should have strong experience with cloud databases, proficiency in Azure Data Factory, and a good understanding of data modelling and GDPR compliance. The working model is hybrid, requiring two days per week in the office.

Qualifications

• Strong experience with cloud and/or on-prem database platforms.
• Proficiency with Azure Data Factory (ADF) or similar tools.
• Expertise in data modelling and data warehouse design.

Responsibilities

• Design, build, and maintain data pipelines for large-scale processing.
• Collaborate with stakeholders including product owners and architects.
• Ensure compliance with data governance and security standards.

Skills

Cloud database platforms

Data modelling

Data warehouse design

Azure Data Factory (ADF)

Performance tuning

DataOps practices

Data security

GDPR compliance

Tools

Talend

SAP BusinessObjects Data Services (BODS)

Job description

We are seeking an experienced Senior Data Engineer to join our client's team responsible for building and maintaining data engineering solutions that enable efficient data distribution and accessibility across the organisation.

This role involves designing robust data models, developing data warehouses, and applying strong data engineering principles to create scalable and efficient systems. You’ll collaborate closely with cross-functional teams, communicate technical concepts clearly, and work with cutting-edge data technologies to advance both your technical and professional growth.

Key Responsibilities

• Design, build, and maintain data pipelines and solutions for large-scale data processing and distribution.
• Work with cloud database platforms (e.g. Azure SQL Database, Snowflake) or on-premise systems.
• Develop and maintain data models and data warehouse structures.
• Collaborate with stakeholders, including product owners, delivery managers, and solution architects.
• Optimise database performance and design efficient business intelligence solutions.
• Plan and execute data migration strategies from on-premise environments to cloud platforms.
• Ensure compliance with data governance, GDPR, and data security standards, including data masking and auditing access.
• Apply DataOps principles to automate deployments, testing, and pipeline optimisation.
• Produce clear technical documentation and design proposals.

Skills and Experience

Essential:

• Strong experience with cloud and/or on-prem database platforms.
• Proficiency with Azure Data Factory (ADF) or similar tools.
• Expertise in data modelling and data warehouse design.
• Demonstrated ability to work with multiple stakeholders.
• Experience in performance tuning and relational database design.
• Familiarity with DataOps practices and automation.
• Understanding of data security, masking policies, and GDPR compliance.

Desirable:

• Experience with Talend.
• Experience with SAP BusinessObjects Data Services (BODS).

Working Model: Hybrid – 2 days per week in the office