Senior Data Engineer

Young's Employment Services Ltd; London; Hybrid; GBP 85,000 - 95,000; Full time

Job summary

A leading recruitment agency is looking for a Senior Data Engineer / Technical Lead in London. The role involves leading a data team, overseeing data platform development, and working hands-on with tools like Azure Data Factory and Databricks. The position offers a salary between £85,000 and £95,000 with a bonus scheme and a hybrid working model, allowing 2-3 days of remote work per week.

Benefits

Attractive bonus scheme

Career development opportunities

Modern and vibrant work environment

Qualifications

• Experience as a Senior Data Engineer or Tech Lead.
• Hands-on knowledge of data infrastructure and pipelines.
• Excellent communication and stakeholder management skills.

Responsibilities

• Define ownership of the roadmap for the Data Platform.
• Design and oversee scalable data pipelines.
• Mentor and develop a high-performing data team.

Skills

Leading data teams

Modern data infrastructure

Apache Spark

Python

Cloud-native environments

Stakeholder management

Problem-solving skills

Tools

Azure Data Factory

Databricks

Kafka

DBT

Job description

Senior Data Engineer / Technical Lead

Hybrid - London with 2/3 days WFH

Circ £85,000 - £95,000 Bonus

An excellent opportunity is available for a Senior Data Engineer / Technical Lead looking to move into a Management / Leadership position. This is an exciting newly created hands-on Data Engineer Managers post that will be responsible for leading and mentoring a small team of Data Engineers whilst overseeing data platform development and optimisation. Our client is a well-established and rapidly growing global ecommerce business with its headquarters based in London. They've been expanding at pace and have ambitious plans to take the business even further. Having implemented a new MS Fabric based Data platform, the need is now to scale up to meet the demand to deliver data driven insights and strategies right across the business globally. The role will require someone that's happy to be hands-on (potentially up to 50% of the time) as you'll be troubleshooting, doing code reviews, steering the team through deployments, acting as an escalation point for technical issues etc.

Key Responsibilities include;

• Define and take ownership of the roadmap for the ongoing development and enhancement of the Data Platform.
• Design, implement, and oversee scalable data pipelines and ETL/ELT processes within MS Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services.
• Advocate for engineering best practices and ensure long-term sustainability of systems.
• Integrate principles of data quality, observability, and governance throughout all processes.
• Participate in recruiting, mentoring, and developing a high-performing data organization.
• Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and trustworthy data platform that supports production services such as dashboards, new product launches, analytics, and data science initiatives.
• Develop and maintain comprehensive data models, data lakes, and data warehouses (e.g., utilizing Azure Synapse).
• Collaborate with data analysts, Analytics Engineers, and various stakeholders to fulfil business requirements.

Key Experience, Skills and Knowledge:

• Experience leading data or platform teams in a production environment as a Senior Data Engineer, Tech Lead, Data Engineering Manager etc.
• Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines
• Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar
• Experience building, defining, and owning data models, data lakes, and data warehouses
• Programming proficiency in Python, Pyspark, Scala or Java.
• Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure).
• Excellent stakeholder management and communication skills.
• A strategic mindset, with a practical approach to delivery and prioritisation.
• Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines.
• Experience building, defining, and owning data models, data lakes, and data warehouses.
• Exposure to data science concepts and techniques is highly desirable.
• Strong problem-solving skills and attention to detail.
• Experience with MS Fabric would be beneficial but it's not essential.

This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Our client can offer an excellent career development opportunity whilst working in a modern and vibrant environment. Salary will be dependent on experience and likely to be in the region of £85,000 - £95,000 an attractive bonus scheme.

For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business