

Harvey Nash
Senior Data Engineer - Python/SQL
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer - Python/SQL, offering a hybrid work location in London or Manchester. Contract length and pay rate are unspecified. Key skills include Python, SQL, AWS, and experience with data quality frameworks and IaC tools.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London
-
🧠 - Skills detailed
#Databases #Documentation #SQL (Structured Query Language) #Pandas #Scrum #Data Quality #Data Engineering #Scala #Computer Science #Cloud #Terraform #Deployment #PySpark #Agile #"ETL (Extract #Transform #Load)" #Code Reviews #Graph Databases #Infrastructure as Code (IaC) #Python #AWS (Amazon Web Services) #Spark (Apache Spark)
Role description
Senior Data Engineer - Python/SQL - sought by leading investment firm - London or Manchester
What you'll do
• Develop creative, forward-thinking solutions to meet business needs, exploring options beyond existing approaches to deliver resilient, scalable outcomes.
• Design and implement pipelines for real-time analysis and critical operational decision-making.
• Build end-to-end ELT pipelines, from sourcing data to presenting clear outputs for internal customers.
• Write high-quality, testable, readable code; participate in code reviews; support solution design; build automated tests; and contribute to documentation throughout the development lifecycle.
• Collaborate closely with developers, a Scrum Master, and a Product Owner to ensure data effectively enables the client experience.
• Contribute to continuous improvement of technical standards, engineering practices, technologies, and processes.
• Own deployment and operational responsibilities across development, test, and production environments.
• Participate fully in agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.About you
• Bachelor's degree in Computer Science, STEM, or a related field is beneficial but not essential.
• Proven experience as a Data Engineer.
• Strong proficiency in Python and SQL, with solid experience working in cloud environments (AWS preferred).
• Skilled in transformation tools such as PySpark or Pandas.
• Knowledge of graph databases is an advantage but not required.Key skills & experience
• Experience using data quality frameworks (e.g., Great Expectations).
• Hands-on experience building cloud infrastructure using IaC tools such as CloudFormation or Terraform.
• Strong understanding of software development best practices, including testing, code quality, and consistency.
• Excellent communication skills with the ability to translate technical information for non-technical stakeholders.
• Experience working within agile environments; familiarity with the Scrum framework is a plus.
• A growth mindset and a desire to develop both technically and professionally.
Please apply within for further details
Always use these settings
Senior Data Engineer - Python/SQL - sought by leading investment firm - London or Manchester
What you'll do
• Develop creative, forward-thinking solutions to meet business needs, exploring options beyond existing approaches to deliver resilient, scalable outcomes.
• Design and implement pipelines for real-time analysis and critical operational decision-making.
• Build end-to-end ELT pipelines, from sourcing data to presenting clear outputs for internal customers.
• Write high-quality, testable, readable code; participate in code reviews; support solution design; build automated tests; and contribute to documentation throughout the development lifecycle.
• Collaborate closely with developers, a Scrum Master, and a Product Owner to ensure data effectively enables the client experience.
• Contribute to continuous improvement of technical standards, engineering practices, technologies, and processes.
• Own deployment and operational responsibilities across development, test, and production environments.
• Participate fully in agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.About you
• Bachelor's degree in Computer Science, STEM, or a related field is beneficial but not essential.
• Proven experience as a Data Engineer.
• Strong proficiency in Python and SQL, with solid experience working in cloud environments (AWS preferred).
• Skilled in transformation tools such as PySpark or Pandas.
• Knowledge of graph databases is an advantage but not required.Key skills & experience
• Experience using data quality frameworks (e.g., Great Expectations).
• Hands-on experience building cloud infrastructure using IaC tools such as CloudFormation or Terraform.
• Strong understanding of software development best practices, including testing, code quality, and consistency.
• Excellent communication skills with the ability to translate technical information for non-technical stakeholders.
• Experience working within agile environments; familiarity with the Scrum framework is a plus.
• A growth mindset and a desire to develop both technically and professionally.
Please apply within for further details
Always use these settings






