etl developer

Network Rail Consulting

<div></div><div><div>Network Rail Consulting (NRC) is the international consultancy arm of Network Rail &ndash; the owner and operator of Britain&rsquo;s mainline rail system. We have been active in the North American, Australian and the Middle East markets since 2013 and have successfully delivered more than 150 consultancy contracts for government, public and privately owned organisations.

In our office based in Waterloo station, we are looking for a Junior Business Intelligence Developer to support the design, development, and maintenance of data systems that transform raw data into meaningful insights. Working under the guidance of senior team members, the role contributes to building data pipelines, reports, and dashboards to support informed business decision-making. 


Key Accountabilities: 

<div>
<ul><li>Support development of data warehouses, ETL processes, and BI solutions.</li></ul>
<ul><li>Develop and maintain reports and dashboards.</li></ul>
<ul><li>Perform basic data analysis and identify trends.</li></ul>
<ul><li>Assist in data validation and quality assurance.</li></ul>
<ul><li>Collaborate with stakeholders to understand requirements.</li></ul>
<ul><li>Continuously develop technical and analytical skills.</li></ul></div> 


Job Skills:
<ul>
<li>Exposure to BI tools such as Power BI or Tableau.</li>
<li>Working knowledge of SQL and relational databases.</li>
<li>Exposure to ETL concepts and techniques.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Good communication skills.</li></ul> 


NRC is an Equal Opportunity Employer. We welcome applications from all qualified candidates regardless of age, race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or veteran status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</div></div><div></div>

Junior Business Intelligence Developer

Capitex

<div>PROGRAMME CONTEXT
Capitex is sourcing specialist resource into the Data workstream of a live Fenergo (Fenx) CLM implementation. The programme is delivering client lifecycle management, KYC/CDD and onboarding capability for a regulated financial institution, with the Data workstream responsible for migrating and validating client, entity and due-diligence data into the Fenergo platform.
This role provides hands-on data depth alongside the configuration and testing workstreams, ensuring migrated data is complete, accurate and fit to drive the configured rules, risk scoring and lifecycle journeys.
ROLE OVERVIEW
The Data Analyst owns source-to-target data mapping, migration and validation activity &mdash; translating legacy and golden-source client/entity data into the Fenergo data model and proving its integrity end-to-end. The role works closely with configuration/BA, testing and client-side data owners to deliver clean, reconciled, audit-ready data.
KEY RESPONSIBILITIES
<ul><li>Define and document source-to-target data mapping from legacy systems and golden sources into the Fenergo CLM / entity data model.</li><li>Author data mapping specifications and transformation rules; maintain mapping documentation as requirements evolve.</li><li>Support and execute data migration (ETL) of client, entity, KYC/CDD and supporting document data into Fenergo.</li><li>Design and run data validation and reconciliation &mdash; pre- and post-migration &mdash; including exception handling and remediation.</li><li>Profile source data quality; identify gaps, duplicates and anomalies and drive resolution with data owners.</li><li>Ensure migrated data correctly supports configured risk rules, scoring and workflow triggers, liaising with the configuration workstream.</li><li>Produce data quality metrics, reconciliation evidence and audit-ready sign-off artefacts for stakeholders.</li></ul>
ESSENTIAL EXPERIENCE
<ul><li>Hands-on data migration / mapping experience on a Fenergo (CLM) implementation.</li><li>Strong source-to-target data mapping and ETL experience on enterprise platform migrations.</li><li>Advanced SQL; confident profiling, validating and reconciling large datasets.</li><li>KYC / CDD / AML data domain knowledge &mdash; client and entity data structures, risk and due-diligence attributes.</li><li>Demonstrable data validation, reconciliation and data-quality discipline on regulated programmes.</li></ul>
DESIRABLE
<ul><li>Banking / Corporate &amp; Institutional Banking or Private/Wealth experience.</li><li>Experience with golden-source / master-data and entity-resolution concepts.</li><li>Oracle / SQL Server, and ETL tooling (e.g. SSIS, DataStage or equivalent).</li><li>SC clearance (or eligibility).</li><li>Exposure to Fenergo rules / event-based messaging and the wider CLM ecosystem.</li></ul>
TOOLS &amp; TECHNICAL ENVIRONMENT
Fenergo CLM, SQL (Oracle / SQL Server), ETL tooling, data profiling and reconciliation tools, JIRA / Confluence; Agile (Scrum / Kanban) delivery environment.</div>

Fenergo CLM Data Analyst / Migration Specialist

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

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>

Data Engineer

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>

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>

Neal's Yard Remedies

Love SQL, DBT, ETL and WMS?
 Love an abbreviation?
 We do too!
 You'll be a tech wizard with previous experience within a Retail business. You'll loves data and can extract, formulate, and manipulate data to create insightful reports to tell the right stories and set business focus. You will be an enabler for Neals Yard Remedies, harnessing the power of technology to drive insight, innovation and impact. You'll help shape our future data landscape, building the infrastructure and tools to empower our teams to make bold data led decisions.
 With a laser focus on the reliability, stability and continuous improvement of our data and integration landscape, you'll support critical systems that underpin retail, distribution and operational processes. You'll maintaining and enhance data pipelines, integrations and platform capabilities that enable the business to operate effectively every day.
 Working across data engineering and systems integration, you'll help drive best practice, improve documentation, strengthen platform resilience and support the business through reliable, trusted data and connected systems.
 Forward thinking in your approach, you'll help design and deploy scalable data solutions to help unlock opportunities, aligned with our strategic objectives, including building ETL pipelines, whilst collaborating across departments to ensure data is easily accessible.
 You'll enjoy assisting teams in a true partnering capacity, comfortable challenging where necessary, using your excellent communication skills to effectively communicate technical information to non-technical personnel. You'll have the ability to directly influence and support commercial decision making.
 You'll join a fast paced and fun environment, where no two days are the same, playing a critical role in managing our data story and delivering real value. Our working culture has the perfect mix of responsibility and ownership, balanced with support and encouragement. You'll have freedom in this role to carve your own path, but with the safety net of a knowledgeable and supportive wider Technology Team.
 
We are open to applications from a Senior Data/ Software Engineer or someone ready to make the next step in their career. Passion for what you do is paramount, as we believe in you, to do what you do well, in our beautifully unique environment.
 
What you'll have: 
Strong hands-on experience with Snowflake in a production environment
 Experience working with Netsuite and supporting ERP integrations, is an advantage
 Advanced SQL skills and experience developing data transformation solutions using dbt
 Experience working with Jitterbit or a comparable iPaaS integration platform
 Knowledge of Shopify integrations and eCommerce systems
 Strong understanding of FTP/SFTP protocols and file transfer configuration
 Experience supporting enterprise data and integration platforms in a live operational environment
 Experience working with EDI integrations and data exchange processes
 Understanding of warehouse management system (WMS) integrations would be beneficial
 Knowledge of JavaScript and HTML is desirable
 
What you'll get: 
Generous employee discount
 Casual dress
 Company pension
 Long service benefits
 Paid community days
 25 days annual leave plus Bank Holidays
 Employee Assistance Programme

Senior Data / Software Engineer

Explore 95+ Etl developer in London this July. Find roles across top companies and apply now to boost your career.

95 etl developer jobs In London

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