data developer

Client Server

<div>
 
 
 
 Software Engineer / Developer (Python SQL) London to &pound;150k+
 
 
 
 
 
 
 
 Are you a data savvy Software Engineer with strong Python coding skills?
 
 
 
 
 
 You could be joining a Hedge Fund with complex work and substantial bonus earning potential.
 
 
 
 
 
 As a Software Engineer you will join a growing team building a modern medallion architecture data platform, working across everything from data engineering and distributed systems to infrastructure and frontend. This is a hands-on role in a small, collaborative team where you'll have real ownership and impact.
 
 
 
 
 
 
 Your role:
 
 
 <ul>
 <li>
 Design and build data platform components using Python
 </li>
 <li>
 Develop and optimise ETL pipelines, Data Lakes/ Lakehouses and distributed systems
 </li>
 <li>
 Improve infrastructure, observability and CI/CD practices
 </li>
 <li>
 Maintain and evolve existing systems (microservices, ETL, Excel add-ins)
 </li>
 <li>
 Support platform operations, ensuring reliability and performance
 </li>
 </ul>
 
 
 
 
 
 Location / WFH:
 
 
 
 You'll join colleagues in the impressive Central London office on a fulltime basis, Monday to Friday.
 
 
 
 
 
 
 About you:
 
 
 <ul>
 <li>
 You have strong backend development experience with Python
 </li>
 <li>
 You have experience of working with financial or market data
 </li>
 <li>
 You have experience of designing and operating data-intensive and distributed systems
 </li>
 <li>
 You have a strong knowledge of databases (Relational, NoSQL and Columnar)
 </li>
 <li>
 You're keen to take ownership and work across the full development lifecycle
 </li>
 <li>
 You're collaborative and pragmatic with strong stakeholder management skills
 </li>
 <li>
 You have achieved a 2.1 or above in a STEM discipline, likely to have studied to MSc
 </li>
 </ul>
 
 
 
 
 
 What's in it for you:
 
 
 
 As a Software Engineer / Developer (Python SQL) you will receive a competitive package:
 
 <ul>
 <li>
 Salary to &pound;150k
 </li>
 <li>
 Bonus
 </li>
 <li>
 Pension
 </li>
 <li>
 Self development and career progression opportunities
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to find out more about this Software Engineer / Developer (Python SQL) opportunity.
 
</div>

Software Engineer Python SQL - Market Data

Pure Human Resources

<div>Senior Full Stack Developer<div>
England (Remote)
 
Full time, permanent
 
Salary: &pound;55,000 &ndash; &pound;70,000 (DOE)
 
Competitive benefits package</div><div>
Building technology that makes a real difference in healthcare</div><div>
Our client, Holmusk, is a global health technology company transforming behavioural health and chronic disease care through data, digital innovation and evidence-driven medicine.</div><div>
Following continued growth, they are seeking an experienced Senior Full Stack Developer to join their UK team and play a key role in the development of healthcare applications used within Mental Health Trusts across the UK.</div><div>
This is an opportunity to combine technical excellence with meaningful impact, helping to build secure, scalable and compliant software that supports frontline healthcare professionals.</div><div>
Senior Full Stack Developer, the role:</div><div><ul><li>Design, develop and maintain scalable full stack applications using C#/.NET and React
</li><li>Build responsive, high-performance user interfaces using modern JavaScript, HTML and CSS
</li><li>Contribute to architecture decisions, ensuring scalability, maintainability and security
</li><li>Develop and maintain automated testing frameworks across unit, integration and end-to-end testing
</li><li>Drive engineering best practice through code reviews and quality standards
</li><li>Work within a regulated software environment with a strong focus on quality and compliance
</li><li>Collaborate closely with a small, highly skilled development team
</li><li>Support CI/CD pipelines and cloud-based deployment processes
</li><li>Troubleshoot, optimise and improve performance across applications and services
</li><li>Contribute to documentation, traceability and technical governance requirements
</li><li>Support future growth of the engineering team through mentoring and knowledge sharing</li></ul></div><div>
Senior Full Stack Developer, the person:</div><div><ul><li>Strong commercial experience with C# /.NET Core /.NET 6+
</li><li>Strong React.js and modern JavaScript development experience
</li><li>Solid understanding of REST APIs, microservices and distributed systems
</li><li>Experience with design patterns and frameworks such as Entity Framework, MVC, MVVM or CQRS
</li><li>Proven experience implementing automated testing and quality assurance practices
</li><li>Experience with Azure cloud environments
</li><li>Strong knowledge of Git, CI/CD pipelines and DevOps principles
</li><li>Experience working with MS SQL and relational databases
</li><li>Understanding of secure coding principles and data protection requirements
</li><li>Experience using AI tools to improve development efficiency</li></ul></div><div>
Senior Full Stack Developer, the benefits:</div><div><ul><li>Opportunity to shape the development of a software solution that directly supports mental health service delivery
</li><li>Fully remote working
</li><li>Collaborative, flexible and supportive working culture
</li><li>Exposure to innovative healthcare technology at scale
</li><li>Opportunity to work with modern cloud, AI and digital health solutions
</li><li>Generous holiday allowance plus additional company days for national holidays
</li><li>Annual performance-based company bonus
</li><li>Ongoing professional development and career growth opportunities</li></ul></div><div>
Pure Human Resources Limited works in partnership with Holmusk in providing Recruitment support. No applications from agencies please.</div></div>

Senior Full Stack Developer

Visa

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
Visa is accelerating the delivery of data analytics and AI powered products to support client growth and strategic decision-making across regions. We are seeking a Data Engineer to execute on the design, delivery and evolution of scalable data engineering capabilities that underpin Data Science, AI and client facing products for all European markets.
The role requires understanding and translating business needs into data models, creating robust data pipelines, and developing and maintaining databases. The candidate should be able to define and manage data load procedures, implement data strategies, and ensure robust operational data management systems. Collaborating with stakeholders across the organization to understand their data needs and deliver solutions is also a key part of this role. The ideal candidate will be proficient in big data tools like Hadoop, Hive, and Spark, programming languages such as Python and SQL and have strong analytical skills related to working with structured and unstructured datasets.
Primary Responsibilities:<ul><li>
Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions</li><li>
Build, manage and deploy large scale ETL processes to generate data assets for the region</li><li>
Build modular and reusable code considering the configurability and scalability while adhering to low-level design</li><li>
Perform thorough unit testing of development tasks and document the test results using standard defined templates</li><li>
Build, schedule, and manage DAGs in Apache Airflow efficiently</li><li>
Monitor data processing tasks using Airflow</li><li>
Ensure quality control of data assets, through monitoring and reconciling data loaded across different stages in the data pipeline</li><li>
Utilize strong data analytics skills to identify, discuss, and promptly fix data issues</li><li>
Apply debugging skills to quickly rectify execution errors, ensuring minimal delays and impact on business operations</li><li>
Collaborate and communicate with stakeholders for requirement understanding and clarifications</li><li>
Maintain the highest level of quality and detail-oriented approach in daily tasks</li></ul>
This is a hybrid position. This requires 3 days per week attendance in the London office
Qualifications
Basic Qualifications:<ul><li>
2-4 years development experience in building data pipelines and writing ETL code using Hive, PySpark, SQL and Unix</li><li>
Experience in writing and optimizing SQL queries in a big data environment</li><li>
Experience working in Linux/Unix environment and exposure to command line utilities</li><li>
Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems</li><li>
Exposure to code version control systems (e.g. git, GitHub)</li><li>
Experience working with cloud services (e.g. AWS, GCP, Azure)</li><li>
Familiarity with common agentic coding tools</li><li>
Hands-on experience building GenAI-based applications or workloads</li><li>
Ability to understand a diverse set of business domains and requirements</li><li>
Good understanding of agile working practices and related program management skills</li><li>
Experience with workflow orchestration tools (e.g., Apache Airflow) and designing reliable data workflows</li><li>
Experience applying data quality frameworks and practices (e.g., automated checks, reconciliation and data observability)</li><li>
Strong communication and presentation skills with ability to interact with different cross-functional team members at varying levels</li></ul>
Preferred Qualifications:<ul><li>
Advanced degree in technical field (e.g. Computer Science, statistics, etc.)</li><li>
Experience with visualization tools like Tableau and Power BI</li><li>
Exposure to Financial Services or the Payments Industry</li><li>
Hands-on experience with CI/CD and automation pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps) including testing and release practices</li></ul>
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Data Engineer

Collective.work

<div>
 Context
 
 
 
 Collective.work
 
 is building the next-generation AI-powered sourcing platform for recruiters. Our mission is to help talent teams identify, engage, and hire the best candidates faster through intelligent automation and data-driven insights. We operate at the intersection of data, AI, and recruiting workflows&mdash;where high-quality data infrastructure is critical to our success.
 
 
 Missions
 
 
 <ul>
 <li>
 Design and maintain scalable data pipelines (batch and real-time)
 </li>
 <li>
 Build and optimize ETL/ELT workflows across Azure and/or GCP
 </li>
 <li>
 Develop data models and architectures to support analytics and ML use cases
 </li>
 <li>
 Ensure data quality, integrity, and reliability across systems
 </li>
 <li>
 Collaborate with ML engineers to prepare and serve training datasets
 </li>
 <li>
 Monitor and improve pipeline performance, cost efficiency, and scalability
 </li>
 <li>
 Implement best practices for data governance, security, and compliance
 </li>
 <li>
 Contribute to tooling and infrastructure decisions
 
 
 </li>
 </ul>
 Tools &amp; Environment
 
 
 <ul>
 <li>
 Cloud: Azure (Data Factory, Synapse) and/or GCP (BigQuery, Dataflow)
 </li>
 <li>
 Data Processing: Python, SQL, Spark
 </li>
 <li>
 Orchestration: Airflow / Prefect
 </li>
 <li>
 Storage: Data lakes, warehouses
 </li>
 <li>
 Streaming: Kafka / PubSub (nice to have)
 </li>
 <li>
 DevOps: Docker, CI/CD
 
 
 </li>
 </ul>
 Working Conditions
 
 
 <ul>
 <li>
 Flexible remote work environment
 </li>
 <li>
 Opportunity to work on a product at the cutting edge of AI and recruiting
 </li>
 <li>
 High ownership and impact from day one
 </li>
 <li>
 Collaborative, product-driven engineering culture
 </li>
 <li>
 Opportunity to shape the data foundation of a growing platform
 
 
 </li>
 </ul>
</div>

Data Engineer - Permanent

Nomia Ltd

<div>
 
 
 About the Role
 
 
 
 
 
 
 As Data Engineer, you will promote data as a key differentiator for Nomia. You will help drive innovation and the building of intelligent systems for internal use, as well as for our customers and suppliers globally. You will be a key member of the team devoted to designing and implementing cutting-edge Agentic solutions.
 
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 <ul>
 <li>
 Design and implement data pipelines for cleaning and enriching data
 </li>
 <li>
 Be responsible for the data lake
 </li>
 <li>
 Find and curate third-party datasets
 </li>
 <li>
 Prepare data for use in experiments
 </li>
 <li>
 Design and maintain notebooks to measure the quality and completeness of data
 </li>
 <li>
 Understand real-world use cases and translate them into actionable plans
 </li>
 <li>
 Conduct experiments to validate design choices or theories
 </li>
 <li>
 Create, manage, monitor, and maintain data models
 </li>
 <li>
 Design and implement ETL processes
 </li>
 <li>
 Document all aspects of your work
 </li>
 <li>
 Stay abreast of advancements in data engineering and research new software and techniques
 </li>
 <li>
 Participate in code reviews, technical discussions, and cross-functional meetings
 </li>
 </ul>
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 3+ years' experience in data engineering
 </li>
 <li>
 Demonstrable experience with Microsoft Azure tools, such as Function Apps and services including Data Factory, Azure Synapse, and Azure Databricks
 </li>
 <li>
 Demonstrable experience designing and implementing ETL pipelines
 </li>
 <li>
 Proficient in PostgreSQL and T-SQL
 </li>
 <li>
 Proficient in Python, with a strong command of data processing libraries such as Pandas and PySpark
 </li>
 <li>
 Proficient in the use of Python notebooks
 </li>
 <li>
 Experience with event-driven architecture
 </li>
 <li>
 Familiarity with LLMs and prompt engineering
 </li>
 <li>
 Proficient in writing clean, maintainable code and well-documented data pipelines
 </li>
 <li>
 Wide knowledge of different database types and designs
 </li>
 <li>
 Familiarity with data modelling techniques
 </li>
 <li>
 Genuine enthusiasm for learning new ideas and techniques
 </li>
 </ul>
 
 
 
 
 
 General
 
 
 <ul>
 <li>
 Ensure compliance with Nomia's data protection and information security policies
 </li>
 <li>
 Hybrid work model &mdash; 3 days per week in office, with flexibility based on training or team needs
 </li>
 <li>
 Promote inclusivity, innovation, and ethical use of AI across the organisation
 </li>
 <li>
 Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves
 </li>
 </ul>
 
 
 
</div>

NOMIA

<div>About the Role
As Data Engineer, you will promote data as a key differentiator for Nomia. You will help drive innovation and the building of intelligent systems for internal use, as well as for our customers and suppliers globally. You will be a key member of the team devoted to designing and implementing cutting-edge Agentic solutions.
Roles &amp; Responsibilities<ul><li>
Design and implement data pipelines for cleaning and enriching data</li><li>
Be responsible for the data lake</li><li>
Find and curate third-party datasets</li><li>
Prepare data for use in experiments</li><li>
Design and maintain notebooks to measure the quality and completeness of data</li><li>
Understand real-world use cases and translate them into actionable plans</li><li>
Conduct experiments to validate design choices or theories</li><li>
Create, manage, monitor, and maintain data models</li><li>
Design and implement ETL processes</li><li>
Document all aspects of your work</li><li>
Stay abreast of advancements in data engineering and research new software and techniques</li><li>
Participate in code reviews, technical discussions, and cross-functional meetings</li></ul>
About You<ul><li>
3+ years' experience in data engineering</li><li>
Demonstrable experience with Microsoft Azure tools, such as Function Apps and services including Data Factory, Azure Synapse, and Azure Databricks</li><li>
Demonstrable experience designing and implementing ETL pipelines</li><li>
Proficient in PostgreSQL and T-SQL</li><li>
Proficient in Python, with a strong command of data processing libraries such as Pandas and PySpark</li><li>
Proficient in the use of Python notebooks</li><li>
Experience with event-driven architecture</li><li>
Familiarity with LLMs and prompt engineering</li><li>
Proficient in writing clean, maintainable code and well-documented data pipelines</li><li>
Wide knowledge of different database types and designs</li><li>
Familiarity with data modelling techniques</li><li>
Genuine enthusiasm for learning new ideas and techniques</li></ul>
General<ul><li>
Ensure compliance with Nomia's data protection and information security policies</li><li>
Hybrid work model &mdash; 3 days per week in office, with flexibility based on training or team needs</li><li>
Promote inclusivity, innovation, and ethical use of AI across the organisation</li><li>
Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves</li></ul></div>

Athsai

<div>
 
 **Employment Type:** Permanent
 
 
 **Salary:** Up to &pound;75k
 
 
 **Location:**
 
 
 in the Central London
 
 
 
 
 
 **Work Arrangement:** In-office only, five days a week.
 
 
 
 ---
 
 
 
 
 
 **Job Title:** Data Engineer
 
 
 
 
 
 **Experience Required:** 8 Years
 
 
 
 
 
 **Role Overview:**
 
 
 
 
 
 We are seeking a Data Engineer to design and implement scalable data solutions, including real-time and ETL/ELT data pipelines. Responsibilities include optimizing our data warehouse, creating Power BI reports, and developing AI-driven solutions using OpenAI APIs.
 
 
 
 
 
 **Key Responsibilities:**
 
 
 
 
 
 - Design and implement robust real-time data pipelines from diverse sources.
 
 
 - Maintain a high-performance data warehouse for reporting and analytics.
 
 
 - Develop insightful Power BI dashboards and reports for stakeholders.
 
 
 - Use Azure Data Factory, Azure Functions, and Logic Apps for data integration.
 
 
 - Employ Python and SQL for data transformation and analysis.
 
 
 - Leverage OpenAI APIs for AI/ML solutions.
 
 
 - Collaborate with teams to align data strategy with business goals.
 
 
 - Ensure data quality, consistency, and compliance.
 
 
 
 
 
 **Required Qualifications:**
 
 
 
 
 
 - 7-8 years in Data Engineering, Data Architecture, or related roles.
 
 
 - Experience with ETL/ELT pipelines and complex data ecosystems.
 
 
 - Proficiency in Python and strong SQL skills.
 
 
 - Familiarity wit
 
 h Azure services (Data Factory, Logic Apps, etc.).
 
 
 
 - Expertise in Power BI for data modeling and visualization.
 
 
 - Experience with OpenAI APIs or similar services.
 
 
 - Understanding of data warehousing and data governance.
 
 
 
 
 
 **Preferred Qualifications:**
 
 
 
 
 
 - Knowledge of DevOps practices and CI/CD pipelines.
 
 
 - Familiarity with cloud-native data platforms (e.g., Databricks).
 
 
 - Understanding of data privacy regulations (e.g., GDPR).
 
</div>

Data Engineer - Azure/ADF

Explore 344+ Data developer in London this July. Find roles across top companies and apply now to boost your career.

344 data developer jobs In London

Software Engineer Python SQL - Market Data

Senior Full Stack Developer

Data Engineer

Data Engineer - Permanent

Data Engineer

Data Engineer

Data Engineer - Azure/ADF