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Forward Deployed Engineer/FDE (AI, Data Engineering, SQL, Python, Customer Facing) - Fully Remote. Expert SQL & Python skills for real-world data systems.

Proficiency in industry-standard tools like JIRA/Confluence/Visio/SQL enables efficient documentation/workflow management while exposure to analytics platforms (Azure/Data Factory/Databricks) positions you well for future-facing initiatives.

Analytics Engineer, SQL, Python. Transforming and analysing data using SQL and Python. Strong experience with SQL and Python.

Russel Group or top 100 global university), backed by A grades at A-level - You have experience in a similar Data Engineer role at a Hedge Fund and have a good understanding of financial markets and investment management - You have strong technical skills with Python and SQL, experience with version

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

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.

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

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

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,

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

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

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

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

Develop production-grade analytics code using SQL, PySpark, and Python.

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

A leading IT consulting firm in North Tyneside is seeking apprentices to contribute to technology projects and help clients with digital transformation.This position offers training in Microsoft technologies and opportunities for career advancement.Ideal candidates will have a Level 3 qualification

You'll leverage your strong SQL and Python skills to automate and optimize processes, while creating impactful dashboards for stakeholders.

You will use SQL and Python to derive insights that inform clients and contribute to thought leadership publications in the industry.

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

Research Analyst – Cryptocurrency / DeFi - Python / SQL. They are now hiring a Research Analyst with strong analytical skills (SQL / Python) who can turn Cryptocurrency insight into clear, engaging research that clients genuinely value. Using SQL and Python (Pandas) to pull and analyse Digital Ass

Use SQL frequently and understand NoSQL databases. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases.

The ideal candidate will enhance valuation models, prepare detailed reports for stakeholders, and improve processes with advanced technical skills in VBA, Python, and SQL.

The ideal candidate will have at least 3 years of experience in software engineering, with strong skills in AWS, Python, and SQL.

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

The role involves designing complex data science problems using Python and SQL, documenting challenges based on real business scenarios.

The ideal candidate should be a qualified accountant with 3-6 years of experience, strong analytical skills, and familiarity with SQL and Python.

The ideal candidate will have extensive experience in Python, SQL, and AWS, with a strong focus on analyzing and improving complex business processes.

The ideal candidate will have experience in data roles, proficiency in Python and SQL, and a proactive approach to problem-solving.

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).

Senior Data Engineer (Python/PySpark & SQL). Python/PySpark and SQL are central to the role. Strong Python and SQL experience in production.

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.

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

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.

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.

The platform integrates Python and Snowflake and youll need a deep understanding of SQL and NoSQL databases (MongoDB or similar!) Youll also have exposure with streaming platforms like Apache Kafka and be able to develop and maintain ELT and essentially bring a solid understanding of data wareho

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.

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

The role requires knowledge of Python, SQL, and containerized deployments using Docker.

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

This role involves developing and maintaining robust back-end systems using Python and SQL, designing APIs, managing databases, and utilizing Microsoft Azure for cloud solutions.

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

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.

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

A financial technology company in London seeks a candidate proficient in Python and SQL for a strategy role focused on optimising credit risk and commercial strategies.

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