Lead Data Engineer

JR United Kingdom; Sunderland; On-site; GBP 55,000 - 85,000; Full time

Job summary

An innovative digital engineering consultancy is seeking a Lead Data Engineer to join their Sunderland office. This role offers the opportunity to work with cutting-edge Azure technologies, leading teams while engaging directly with clients. You will be responsible for architecting data solutions, developing ETL pipelines, and ensuring data quality across various projects. With a focus on collaboration and effective communication, you will play a crucial role in delivering impactful data-driven solutions. Join a forward-thinking company that values continuous learning and offers a range of benefits, including generous holiday allowance and a performance-based bonus.

Benefits

Up to 10% bonus based on performance

25 days holiday plus 8 bank holidays

Life Insurance & Income protection

Enhanced Maternity and Paternity Pay

Cycle to work scheme

Tech Scheme with discounts

Free unlimited Udemy account

Qualifications

• Proven experience as a Lead Data Engineer focusing on Azure cloud services.
• Strong database fundamentals including SQL/TSQL and performance tuning.

Responsibilities

• Lead and manage small teams while being hands-on with data engineering tasks.
• Architect and build data applications using Azure Data Warehouse and Data Lake.

Skills

Azure cloud services

SQL/TSQL

Python programming

Data modeling

ETL pipeline development

Data governance

Machine Learning

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Databricks

Power BI

Terraform

Job description

Social network you want to login/join with:

Lead Data Engineer, Sunderland, Tyne and Wear

Client:

People Talent

Location:

Sunderland, Tyne and Wear, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

3

Posted:

08.05.2025

Expiry Date:

22.06.2025

Job Description:

People Talent has partnered with a global digital engineering consultancy recruiting for a Lead Data Engineer on a permanent basis based out of their Sunderland office. The role requires a strong understanding of technology consultancy services, excellent communication, and stakeholder engagement skills, as this position will be client-facing.

Skills and experience:

• Proven experience as a Lead Data Engineer with a focus on Azure cloud services.
• Experience managing small teams while being hands-on.
• Strong database fundamentals including SQL/TSQL, performance tuning, and schema design.
• Experience architecting and building data applications using Azure, specifically Data Warehouse and/or Data Lake.

Technologies:

• Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks, and Power BI. Experience creating low-level designs for data platform implementations.
• ETL pipeline development for data source integration and transformations, including documentation.
• Proficiency working with APIs and integrating them into data pipelines.
• Strong programming skills in Python.
• Experience with data wrangling such as cleansing, quality enforcement, and curation (e.g., Azure Synapse notebooks, Databricks).
• Data modeling experience to describe data landscape, entities, and relationships.
• Experience migrating data from legacy systems to the cloud.
• Experience with Infrastructure as Code (IaC), particularly Terraform.
• Proficiency in developing Power BI dashboards.
• Strong focus on documentation and diagramming (e.g., ERDs).
• Effective communication and teamwork skills for cross-functional collaboration.

Preferred qualifications:

• Knowledge of data governance, data quality, security, metadata cataloging, and Master Data Management.
• Machine Learning and AI development experience.

Benefits:

• Up to 10% bonus based on performance.
• 25 days holiday plus 8 bank holidays, with options to carry forward or cash in 5 days annually.
• Life Insurance & Income protection.
• Enhanced Maternity and Paternity Pay.
• Cycle to work scheme.
• Tech Scheme with discounts on over 5000 tech products.
• Free unlimited Udemy account for continuous learning.