Ampstek

Senior Data Engineer (Python Enterprise Developer)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Python Enterprise Developer) in London, UK, on an Inside IR35 contract. Requires strong Python, SQL (PostgreSQL), and cloud experience (AWS, Azure). Key skills include data pipelines, DevOps, and Agile methodologies.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Azure Databricks #Python #AWS S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Automation #Deployment #Leadership #NumPy #SQL Queries #Pandas #Libraries #GIT #Cloud #Azure #Data Engineering #AWS (Amazon Web Services) #Data Processing #Data Pipeline #S3 (Amazon Simple Storage Service) #Jenkins #Agile #Scala #DevOps #PostgreSQL #Databricks #Scrum #"ETL (Extract #Transform #Load)"
Role description
About Us: AmpsTek – a global technology leader since 2013 – is transforming how businesses approach technology and staffing solutions. Founded by seasoned technology leaders across the UK, Europe, APAC, North America, and LATAM, and with registered offices in 30+ countries, we deliver exceptional service, scalable solutions, and measurable impact. With a portfolio of 200+ clients and millions of users across web and mobile platforms, we empower businesses to innovate, grow, and succeed. Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results. Job Title: Senior Data Engineer (Python Enterprise Developer) Location: London UK Hybrid InsodeIR35 Contract Position Description: • Strong experience in python coding. • Lead the design, development, and optimization of scalable data pipelines, data processing frameworks, and enterprise grade Python applications. • Provide technical leadership in Python development, including best practices for automation, data processing, and integration workflows. • Work extensively with Python and data centric libraries such as NumPy, Pandas, BeautifulSoup, Selenium, pdfplumber, and Requests. • Architect and optimize SQL queries and database solutions, with strong proficiency in PostgreSQL and other relational data stores. • Integrate DevOps practices using CI/CD pipelines, Jenkins, Git, and ensure smooth deployment of data solutions. • Develop and manage cloud based data workflows on platforms such as AWS (S3) and Azure Databricks. • Drive agile delivery by collaborating with cross functional teams under Agile/Scrum methodologies.