Venesky-Brown
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 5-month contract, paying £550/day, hybrid in Edinburgh. Key skills include Python, AWS, and data platform architecture, preferably in financial domains. Strong communication and collaboration skills are essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
550
-
🗓️ - Date
November 19, 2025
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
Edinburgh, Scotland, United Kingdom
-
🧠 - Skills detailed
#REST (Representational State Transfer) #Scala #SQLAlchemy #PostgreSQL #Data Engineering #Airflow #Apache Airflow #Spark SQL #Docker #React #"ETL (Extract #Transform #Load)" #SageMaker #Containers #Linux #Pandas #Spark (Apache Spark) #Data Pipeline #AWS (Amazon Web Services) #Data Science #PySpark #Security #Python
Role description
Venesky-Brown’s client, a public sector organisation in Edinburgh, is currently looking to recruit a Data Engineer for an initial 5 month contract on a rate of £550/day (inside IR35). This role will be hybrid with 2 days per week in the office.
Responsibilities:
- Build scalable data pipelines for sourcing, transforming and publishing data assets for research and commercial use cases
- Work collaboratively with other engineers, data scientists and product owners to build the next generation data platform products and services.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody Culture and Values.
Essential Skills:
- Ability to identify, analyse, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Architecting, Designing and building data platforms preferably in financial domains
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Infrastructure-as-Code
- Security awareness (RBAC, networking, encryption at rest etc.)
- Positive attitude towards LLM assisted development
- Preferred Toolset:
- Python (Pandas, Apache Airflow, PySpark, SQLAlchemy, Dask, Great Expectations, ScikitLearn)
- Linux
- Containers (e.g. Docker)
- Data bases (e.g. PostgreSQL)
- AWS (CDK/Python, Bedrock, Sagemaker)
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Passion for learning new technologies and staying up to date with industry trends and best practices
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
- Ability to deal with ambiguity and react quickly in an evolving and fast paced environment.
- Ability to work autonomously, under pressure and with conflicting and changing priorities.
- Excellent verbal and written communication skills
- Personable approach with ability to develop positive working relationships at all levels within an organisation
- Self-motivated and proactive
Venesky-Brown’s client, a public sector organisation in Edinburgh, is currently looking to recruit a Data Engineer for an initial 5 month contract on a rate of £550/day (inside IR35). This role will be hybrid with 2 days per week in the office.
Responsibilities:
- Build scalable data pipelines for sourcing, transforming and publishing data assets for research and commercial use cases
- Work collaboratively with other engineers, data scientists and product owners to build the next generation data platform products and services.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody Culture and Values.
Essential Skills:
- Ability to identify, analyse, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Architecting, Designing and building data platforms preferably in financial domains
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Infrastructure-as-Code
- Security awareness (RBAC, networking, encryption at rest etc.)
- Positive attitude towards LLM assisted development
- Preferred Toolset:
- Python (Pandas, Apache Airflow, PySpark, SQLAlchemy, Dask, Great Expectations, ScikitLearn)
- Linux
- Containers (e.g. Docker)
- Data bases (e.g. PostgreSQL)
- AWS (CDK/Python, Bedrock, Sagemaker)
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Passion for learning new technologies and staying up to date with industry trends and best practices
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
- Ability to deal with ambiguity and react quickly in an evolving and fast paced environment.
- Ability to work autonomously, under pressure and with conflicting and changing priorities.
- Excellent verbal and written communication skills
- Personable approach with ability to develop positive working relationships at all levels within an organisation
- Self-motivated and proactive
