Senior Data Engineer_London_Hybrid(6+ Years)

JR United Kingdom; Kingston upon Hull; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading company in the UK is seeking a Senior Data Engineer for a hybrid position. The role involves designing and maintaining data architecture and requires strong skills in Python, Pyspark, and SQL. Ideal candidates will have over 6 years of experience and a proven ability to deliver scalable data solutions.

Qualifications

• Minimum 6+ years of total experience.
• At least 4+ years of hands-on experience using mandatory skills.

Responsibilities

• Design, build, and maintain data pipelines using Python, Pyspark, and SQL.
• Develop and maintain ETL processes for data sources to data warehouse on AWS/AZURE/GCP.
• Collaborate with data scientists and analysts to understand data needs.

Skills

Python

Pyspark

SQL

Job description

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Senior Data Engineer_London_Hybrid(6+ Years), kingston upon hull, east yorkshire

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Client:

Location:

kingston upon hull, east yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

07.06.2025

Expiry Date:

22.07.2025

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Job Description:

About Role:

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data architecture and infrastructure. The successful candidate should possess a strong foundation in Python, Pyspark, SQL, and ETL processes, with a demonstrated ability to implement solutions in a cloud environment.

Experience - 6-9 Years

Location - London

Job Type - Hybrid, Permanent

Mandatory Skills:

• Design, build, maintain data pipelines using Python, Pyspark and SQL
• Develop and maintain ETL processes to move data from various data sources to our data warehouse on AWS/AZURE/GCP .
• Collaborate with data scientists, business analysts to understand their data needs & develop solutions that meet their requirements.
• Develop & maintain data models and data dictionaries for our data warehouse.
• Develop & maintain documentation for our data pipelines and data warehouse.
• Continuously improve the performance and scalability of our data solutions.

Qualifications:

• Minimum 6+ years of Total experience.
• At least 4+ years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL.