Head of Data Engineering - Lead Scalable Data Pipelines

Parking Network BV; Manchester; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading technology firm in Manchester is seeking a Head of Data Engineering to lead and mentor their data engineering team. The role focuses on shaping the data engineering strategy, ensuring quality and scalable data pipelines, and collaborating with cross-functional teams. Strong experience with medallion architecture, Databricks, and cloud platforms is essential. This position offers significant opportunities for impact and professional growth within a dynamic environment.

Benefits

25 days holiday, increasing with service

Option to buy up to 10 extra days

10% company pension

On-site gym

Flexible benefits and discounts

Rail and retail discounts

2 paid volunteering days per year

Access to health & wellbeing events

Formal and informal development options

Enhanced parental leave

Qualifications

• Strong experience with medallion architecture and Databricks.
• Proficiency with ETL tools (e.g., Rivery) and ML-Ops frameworks.
• Strong programming skills in Python, Scala, or Java.
• Experience with cloud platforms like AWS, Azure, or GCP.
• Excellent communication skills and problem-solving ability.

Responsibilities

• Lead and mentor a team of data engineers.
• Develop and execute the data engineering strategy.
• Design and oversee data architecture improvements.
• Ensure delivery of scalable data pipelines.
• Collaborate with cross-functional teams.
• Establish best practices for data quality and governance.
• Stay updated on data engineering trends.

Skills

Medallion architecture

Databricks

ETL tools

Python

Scala

Java

AWS

Azure

GCP

Excellent communication skills

Job description

A leading technology firm in Manchester is seeking a Head of Data Engineering to lead and mentor their data engineering team. The role focuses on shaping the data engineering strategy, ensuring quality and scalable data pipelines, and collaborating with cross-functional teams. Strong experience with medallion architecture, Databricks, and cloud platforms is essential. This position offers significant opportunities for impact and professional growth within a dynamic environment.