51 to 75 of 83 ETL Jobs in Central London

Hands-on experience with cloud platforms (AWS, Azure, GCP) Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team ...

Design and architect end-to-end data solutions , from ingestion and processing through to analytics and visualisation. Design and oversee scalable data pipelines and ETL processes supporting BI, analytics and data science. Develop conceptual, logical and physical data models , including dimensional, relational and Data Vault approaches. Design solutions integrating modern … looking for an experienced Data Architect who can demonstrate: 5+ years' experience in Data Engineering/Data Architecture , with strong experience designing ETL processes, data pipelines and data storage solutions. Previous experience working within a technology, data or management consultancy in a client-facing capacity. Experience leading data engineering projects ...

Additional Information: The role does not include front‐end responsibilities, as the current front‐end is managed internally. No requirement for data pipeline or ETL experience, as the focus is on SaaS deployment capabilities. B2B structure is acceptable if the engagement mirrors that of an employee. This is a unique ...

processes to ensure data integrity, accuracy, and audit-ready change management. Partner with Business Intelligence and Systems Analytics teams to shape Data Warehouse architecture, ETL workflows, and scalable infrastructure that supports reliable downstream analytics. Translate complex commercial contracts into structured, reusable data constructs that integrate cleanly into operational systems and … related field, including experience leading and developing high-performing analytical teams. Deep hands‐on experience in database building, schema design, database maintenance, data warehousing, ETL processes, and advanced SQL querying across very large and complex data environments. Proven ability to identify, evaluate, and implement tools and technologies that consolidate disparate ...

candidate would be: Working in an agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI, dbt, Snowflake and AWS. Working with business users to design and configure self-serve data environments within our data warehouse and … Willingness to take part in overnight support rota Minimum Criteria You’ll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI or dbt Significant database experience in Snowflake and/or Oracle Star schema/dimensional modelling. Excellent SQL skills ...

This is not a paper-architect role. The successful candidate will pick up an in-flight, multi-year programme to decouple and replatform the ETL processes that sit behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake …/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. Hands-on T-SQL, stored procedure, ETL framework and PowerShell development at expert level partition design and partition-aligned indexing, clustered/nonclustered index strategy, deduplication, parallel-run cutovers, schema migration, performance ...

perform Quality Assurance checks according to the project and industry standards Ability to coordinate and manage own workload support project delivery Familiarity with ETL tools like FME and GIS integrations Excellent communication and engagement skills Understanding of construction processes, asset lifecycles and industry regulations and standards Experience in large infrastructure ...

and PMs, and deliver scalable datasets and visualizations that power product decisions for billions of users. The role emphasizes data security, governance, and efficient ETL patterns, with opportunities for career growth and mentorship within a leading data engineering community. #J-18808-Ljbffr ...

hands‐on configuration of HANA Cloud, CAP services, or BTP cockpit tooling is an advantage. Experience running or supporting a data ingestion or ETL pipeline in any technology context - the discipline of parse, validate, load, and verify transfers directly to Cortex ingestion work. Hands ...

development experience. Experience with Java or another programming language. Experience developing and supporting multiple data integrations. Knowledge of APIs, web services, Middleware or ETL processes. Experience working with relational databases and large datasets. Please note: StuTalk experience is a key requirement for this position, if you do not have Stutalk ...

international investment-banking environment. Systems Expertise: Deep practical knowledge of Oracle ERP/EPM modules, financial data integration, reporting tools, API-based integrations, ETL technologies, data lakes, accounting rules engines, and reference data. This is a fascinating role with a wide range of visibility from day one For more information ...

Developer, Toad or SQL*Plus Experience writing complex and performance-focused SQL queries Experience debugging and performance-tuning PL/SQL Experience with ETL processes and data extraction/transformation/loading Working knowledge of database partitioning and materialised views Experience working within a production/support environment Strong problem ...

first Results and impact driven Self-motivated Continuous improvement Role Responsibilities Partner with business stakeholders to gather, challenge, and translate reporting and analytics requirements. Extract, transform, analyse, and interpret data from multiple sources to support business decision-making. Design, develop, and maintain Power BI reports and semantic models. Write efficient … Data Build Tool) for data transformation and modelling. Familiarity with cloud-based data platforms, particularly Microsoft Azure. Experience working with data engineering or ETL pipelines. Exposure to version control and collaborative development practices (e.g., Git/GitHub). Experience working within financial services, insurance, or other highly regulated industries. #J ...

business data and reporting requirements into actionable solutions for our global, cross-functional data repository and reporting platform. This role ensures that data, reporting, ETL, data warehousing, semantic models, analytics, and AI-enabled insights are aligned to business objectives and deliver measurable value. The role acts as a bridge between … data requirements, and operational deliverables. Analyse current-state processes, data flows, reporting pain points, and operational gaps; define target-state improvements enabled by data, ETL, data warehousing, semantic models, dashboards, and analytics solutions. Act as a liaison between business stakeholders, Data Office, IT Data Foundation, and delivery teams to ensure ...

What You'll Be Doing Design and deliver end-to-end data architecture solutions aligned to business objectives. Build scalable data platforms, pipelines and ETL processes across modern cloud environments. Develop conceptual, logical and physical data models, including dimensional and relational modelling. Integrate modern cloud platforms with legacy systems … and architecture approaches. What We're Looking For Proven experience designing and delivering enterprise data architecture solutions. Strong background building cloud-based data platforms, ETL pipelines and data engineering solutions. Expertise with Azure, AWS or Google Cloud data services and modern data platforms. Experience with data modelling techniques including dimensional ...

sophisticated data models and visualizations that support multiple use cases across different products or domainsSolve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sourcesAssist in owning existing processes running in production, optimizing complex code through advanced … include roles such as data analyst, data scientist, data engineer, or similar positions4+ years of experience (or 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)Preferred Qualifications:Experience adhering to and implementing responsible, ethical AI practices ...

doing Leading, mentoring and growing a team of Data Engineers Designing and building scalable data pipelines and cloud based data platforms Developing robust ETL and ELT solutions using Python and SQL Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with … quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring or developing engineers ...

technologies, contribute ideas and have a genuine impact as the business continues to scale. Key Responsibilities Design, build and optimise scalable data pipelines and ETL/ELT processes. Develop and maintain data engineering solutions using Python, SQL and Spark. Work with large and complex datasets, ensuring data quality, reliability and … working with Spark for large-scale data processing. Hands-on experience working with AWS data services. Experience designing and developing scalable data pipelines and ETL/ELT processes. Practical experience using AI-assisted development tools such as Claude within your day-to-day work. Strong communication skills and the ability ...

while having the technical ability to understand, review and challenge the code they produce. Key Responsibilities Design, build and optimise scalable data pipelines and ETL/ELT processes. Develop and maintain data engineering solutions using Python, SQL and Spark. Work with large and complex datasets, ensuring data quality, reliability and … working with Spark for large-scale data processing. Hands-on experience working with AWS data services. Experience designing and developing scalable data pipelines and ETL/ELT processes. Practical experience using AI-assisted development tools such as Claude within your day-to-day work. Strong communication skills and the ability ...

migration strategies, and building scalable integration solutions. You will lead technical aspects of data projects including: mapping data between different systems, creating and optimising ETL processes, implementing data validation rules, and developing custom integration solutions when needed. Additionally, you will establish best practices for data quality and maintain documentation … Node.js, Python, or PHP, and extensive experience working with APIs. Understanding of database systems (both SQL and NoSQL) is essential, as is experience with ETL processes and data transformation techniques. Required Skills and Experience 3+ years of experience in data integration or similar technical roles Strong programming skills with demonstrated ...

other data engineers to produce clean, quality code through code reviews and pair programming Design, develop, and maintain scalable data pipelines that adhere to ETL principles and business goals Who you are Demonstrable leadership mentality, business acuity, and big-picture approach Expertise in cloud-based data technologies and data warehousing … design principles, preferably Azure Expert in design/build of end-to-end data solutions Demonstrable experience with ETL tools, e.g. Databricks, SQL Demonstrable experience with Python/SQL/Spark Everyone's welcome We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry ...

Data Architect – Leading Investment Bank – London/Hybrid (Tech stack: Data Architecture, Enterprise Data Strategy, Data Warehouse, Master Data Management, ERP, CRM, BI, ETL/ELT, Azure Data Factory, Data Lakes, RDBMS, NoSQL, AWS Glue, EMR, Capital Markets Data) Our client is a leading global investment bank with a strong … RDBMS, NoSQL, Data Lakes, AWS Glue, EMR and Azure Data Factory particularly valuable. You will also have a good understanding of data warehousing, ETL/ELT, data integration, data lineage and the wider data engineering landscape. Our client puts people first, giving talented, self-driven professionals the flexibility, rewards and ...

established engineering team and work on clearly defined deliverables alongside experienced Data Engineers. What you'll be doing Build, test and maintain production batch ETL/data pipelines Write and optimise SQL across large-scale datasets Use Python for data transformation and pipeline orchestration Maintain and improve existing pipelines, including … Participate in code reviews and Git-based development workflows Collaborate with Data Engineers, Analysts and Engineering teams The core work is production data engineering: ETL pipelines, large-scale SQL, pipeline changes, data-quality troubleshooting and code review. What we’re looking for 5+ years' experience building production data pipelines Advanced ...

Cypher , including query development and optimisation. Strong understanding of graph data modelling, including entities, relationships and connected data structures. Experience designing and implementing ETL/ELT pipelines for graph databases. Ability to develop scalable and efficient data solutions to support complex data relationships. AWS and Data Engineering Strong experience working … Advanced Python development skills. Experience with Apache Spark or similar distributed data processing technologies would be advantageous. Proven experience designing, building and maintaining scalable ETL/ELT pipelines. Strong understanding of data integration, transformation and processing best practices. Contract Details Role: SC Graph Data Engineer Location: Fully remote Clearance: Active ...

umbrella, with security-cleared awareness and clear path for progression. You will develop and optimize Power BI reports, data models, and ETL processes; connect BI to diverse data sources; implement Row-Level Security; and collaborate with stakeholders to meet #J-18808-Ljbffr ...