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Candidates should have strong experience with Python, SQL, Apache Kafka, and AWS.

The ideal candidate has 1-3 years of experience with data engineering, strong SQL skills, and knowledge of data warehousing.

This full-time permanent position offers hybrid working conditions and requires familiarity with IT environments, SQL, and Python skills.

The ideal candidate has substantial experience with AWS, SQL, and NoSQL databases, and will contribute to an innovative data culture. You will design and deliver reliable data solutions, develop data pipelines using Python and Databricks, and ensure data security.

Ideal candidates should have a solid background in software engineering, with significant experience in SQL, Python, and an understanding of NoSQL databases.

You have strong SQL skills (PostgreSQL, SQL Server - Azure Databricks experience highly preferred). As a Python Developer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. P

The ideal candidate should possess strong expertise in AWS, Databricks, and Python with at least 3 years of experience, alongside solid SQL skills.

A global insurance technology provider in London seeks a Python Developer to design impactful backend services focusing on Python and FastAPI. Ideal candidates have strong SQL skills, Azure cloud experience, and a solid foundation in computer science principles.

Ideal candidates will have over 5 years of experience and expert Python programming skills, along with a solid understanding of statistical analysis and machine learning.

Use SQL frequently and understand NoSQL databases. Develop workflows and ELT pipelines using Python and Databricks. Good working knowledge of AWS, Databricks, and Python.

Ideal candidates will have a first-class STEM degree, experience in finance, and strong skills in Python, SQL, and modern data tools like Apache Spark and Azure Databricks.

A leading AI technology firm is seeking a Freelance Computational Data Science Expert proficient in Python and SQL.

Ideal candidates will have 3+ years of experience, strong skills in Python, Databricks, and SQL, and a good understanding of NoSQL databases.

The ideal candidate will have strong coding skills in Python and SQL, as well as experience in credit risk strategy.

Applicants should have over three years of experience, along with a strong background in Python, Databricks, and AWS.

A leading investment firm in Greater London is seeking a Senior Data Engineer proficient in Python and SQL.

The majority of development is done in Python. Design, implement, and support scalable Python‑based risk engines leveraging position, reference and market data stored in Snowflake databases.

Freelance Computational Data Science Expert (Python & SQL). You are proficient in SQL and database operations for data manipulation and analysis. Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).

The ideal candidate will have strong skills in Python and SQL, focusing on building and maintaining ETL pipelines and ensuring high data quality.

You'll develop back-end applications with Python and Django while optimizing SQL queries.

A project-based AI solutions company is seeking experienced data scientists to design and create computational data problems across multiple industries, utilizing expert Python programming and advanced statistical analysis.

The ideal candidate will have strong knowledge in Python, Unix, and SQL, while familiarity with KDB is an added benefit.

This role requires proficiency in AWS, Python, and SQL, as well as experience across the data lifecycle.

Candidates should have 5-8 years of experience, strong SQL and Python skills, familiarity with ETL/ELT tools, and a degree in a relevant technical field.

Strong skills in SQL and Python are essential, along with effective communication to collaborate with stakeholders.

This role involves analyzing credit portfolios, developing risk models using Python and SQL, and ensuring compliance with regulations. The ideal candidate has strong experience in Python and SQL, a solid understanding of credit risk frameworks, and relevant educational qualifications.

Good working knowledge of AWS, Databricks, and Python. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases.

The ideal candidate should have strong expertise in AWS, Python, and SQL, along with a background in software engineering.

The ideal candidate will have over 3 years of experience, strong proficiency in Python and SQL, and hands-on experience with relational databases, specifically Postgres.

Data Engineer (Python SQL Spark Azure Databricks) London to £160k. You have strong technical skills with Python or C# and SQL, experience with version control and contributing to a shared codebases. Data Engineer (Python SQL Spark Azure Databricks) opportunity.

A leading financial analytics firm in London is seeking a Credit Risk Analyst with expertise in Python and SQL to join their dynamic team.

Expert with SQL and database operations for data manipulation and analysis. Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn). Verify solutions using Python with standard data science libraries and statistical methods.

Technical/Engineer Lead - Defence, Agile, Python, Cloud, SQL, Microservices, Hybrid DV Cleared. Strong SQL/NoSQL data modelling. Proficiency in Python, GoLang, Java, TypeScript/Node.

Use SQL frequently and understand NoSQL databases. Working understanding of NoSQL databases. Develop workflows and ELT pipelines using Python and Databricks.

Senior Data Engineer - Python/SQL - sought by leading investment firm - London or Manchester.

Proficiency in C#, Python, JavaScript/TypeScript, and SQL. Design, build, and maintain advanced test automation frameworks using Playwright, SpecFlow, and custom tools in C#, Python, and JavaScript/TypeScript. Strong data testing skills (SQL, Snowflake, Databricks), performance/load testing, API and

The ideal candidate has strong skills in Python and SQL, alongside experience with AWS.

You will utilise relevant coding languages / leverage accounting systems (Python, SQL, and VBA) to automate financial workflows, optimise reporting, and enhance data analysis capabilities.

Write and maintain Python scripts for automation and support tooling. Manage and query databases using SQL; maintain awareness of data flows and schemas.

Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn). Verify solutions using Python with standard data science libraries and statistical methods. Expert Python programming for data science (pandas, numpy, scipy, scikit‑learn,

This hybrid role in London requires strong technical skills in Python and SQL, along with experience in financial services.

This hybrid role involves working on diverse projects across industries, requiring strong skills in Python, SQL, and AI/ML tools.

Expert with SQL and database operations for data manipulation and analysis. Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn). Verify solutions using Python with standard data science libraries and statistical methods.

Working understanding of NoSQL databases. Exposure to Aurora PostgreSQL and MongoDB. Good working knowledge of AWS, Databricks, and Python.

This role involves developing workflows and ELT pipelines using Python and Databricks, implementing data security measures, and maintaining data models. The ideal candidate will have at least 3 years of experience in software engineering, expertise in AWS, Databricks, and SQL, and a passion for data

Use SQL frequently and understand NoSQL databases. Working understanding of NoSQL databases. Develop workflows and ELT pipelines using Python and Databricks.

This role requires at least 3 years of experience in software engineering, proficiency in Python and AWS, and a strong understanding of data lifecycle.