26 to 50 of 83 ETL Jobs in Central London

into that estate (SAP, Oracle or whatever a client runs) across subledgers and the general ledger, consolidation, close and reconciliation tooling. You work with ETL, ELT and API patterns, with both scheduled batch loads and change‐data‐capture feeds, and you handle the things source systems do in practice: master ...

engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering … using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources (web APIs, databases, real-time streams). Leverage Generative AI platforms and frameworks ...

experience building with tools like Docker Familiarity with cloud-native data architectures (AWS, GCP, or Azure) Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar 3–10 years total experience, including 2+ years ...

medallion, dimensional and domain-oriented designs. Data Integration & Engineering - Design ingestion and integration patterns across batch, streaming and change data capture (CDC). Define ETL/ELT, transformation and orchestration approaches suited to the customer's scale, skills and operating model. Data Storage & Management - Design the logical storage layer, including … oriented approaches, and of designing semantic layers for consistent business definitions. Experience designing ingestion and integration patterns, including batch, streaming, change data capture (CDC), ETL/ELT and orchestration. A good understanding of relational and non-relational databases, open table formats (e.g. Delta Lake, Apache Iceberg), and data storage and ...

Analytics in London is seeking an AWS Data Engineer to join our hybrid team. You will design, build and optimise scalable data pipelines and ETL/ELT processes, using Python, SQL and Spark to manage large consumer datasets. You will collaborate with analytics and data science teams, apply AWS data ...

science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings ...

rules. Build interactive dashboards, reports and data visualisations. Develop allocation models, calculations and workflow processes. Integrate BOARD with ERP and other enterprise systems using ETL and data integration tools. Support data migration, testing and deployment activities. Deliver user training and provide post-go-live support. Recommend improvements to planning processes ...

warehouse and the data quality framework. Keep the warehouse up to date and exceeding data quality targets Monitor, investigate and resolve issues with the ETL and reporting processes Oversee the execution of scheduled analyses, reporting and model processes and automate repeat tasks using available SQL & BI tools Log work requests ...

filters, and drill-through functionality. Ensure consistency of data across source systems, data warehouse, and reports. Perform report reconciliation and data accuracy checks. Validate ETL processes and data transformations. Verify data movement from source systems to reporting layers. Execute database and SQL-based validation tests. Identify data quality issues and ...

Data & Cloud SQL/NoSQL databases — Snowflake Cloud platforms: AWS (S3, RDS, Glue), Azure (ADLS, Purview), GCP (BigQuery) Data cataloguing tools — Collibra, Alation, Informatica ETL pipelines and data lineage concepts Security & Privacy SIEM/DLP tools integration (Splunk, Microsoft Purview) Identity & Access Management basics (IAM, RBAC) Encryption, tokenization, and data ...

have strong experience across several of the following areas: Python software development AWS and cloud-based data technologies Designing and building scalable data pipelines ETL and ELT processes Data architecture and data modelling Distributed data processing Cloud‐native engineering CI/CD pipelines and automated deployment Infrastructure as Code Technical ...

Agentforce, Data Cloud or related AI capabilities. Development: Apex, Lightning Web Components (LWC), APIs and Salesforce development. Integration: REST/SOAP APIs, data integration, ETL and data mapping. Data & Platforms: Experience working with tools such as MuleSoft, Informatica or similar technologies would be beneficial. Engineering Practices: Git, CI/ ...

high calibre teams to exceed their expectations Sales acumen, identifying and managing sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc. An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural ...

going. Youll work across: Building data pipelines using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Developing data models and analytics solutions Power BI development ETL/ELT SQL and SQL Server Azure Data Lake Internal and third-party API integrations Azure DevOps and Git CI/CD and production deployments … longer-term ownership , rather than simply meeting an arbitrary number of years. Youll also need experience across several of the following: SQL Data modelling ETL/ELT development Azure data platforms Azure Data Lake API integrations Git/source control Azure DevOps CI/CD Developing, deploying and supporting production ...

report design and development skills. Ability to manage priorities and deliver work to agreed deadlines. Strong communication and influencing skills. Knowledge of SSIS/ETL, SQL Server Data Tools, SQL Server data warehousing, Excel BI add-ons and SharePoint is desirable. Experience maintaining or developing custom applications and integrations with ...

right outcome. You take ownership, anticipate risks and keep stakeholders informed without being prompted. EXPERIENCE THAT HELPS Hands-on experience with data migration, ETL processes and scripting (e.g., SQL, Python or similar). Setting up and supporting RESTful API integrations, webhooks and authentication flows. Working in a SaaS implementation ...

latency transaction-based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within fintech, payments or a fast-paced startup ...

Glue, with an appreciation for data quality and consistency is a strong advantage. Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and how they fit together in modern data architectures. Proficiency in SQL and experience querying large-scale datasets with engines such ...

client projects. Why this role? You’ll gain hands‐on exposure to: AWS cloud & migration Python development SQL, databases & data platforms Data pipelines & ETL/ELT APIs & backend engineering CI/CD & production systems Analytics & modern data platforms AI/ML and emerging AI technologies It's a strong opportunity … Work with relational and non‐relational databases. Contribute to front‐end development where required. Data Engineering Build, maintain and optimise data pipelines . Develop ETL/ELT workflows and data integrations. Work with data warehouses, data lakes and analytics‐ready platforms. Ensure data quality, reliability and performance. Production & Delivery Take ...

measures, calculated columns, and KPIs. Connect Power BI to various data sources including SQL Server, Excel, SharePoint, APIs, and cloud platforms. Develop and optimize ETL processes using Power Query and other data integration tools. Perform data validation, testing, and troubleshooting to ensure report accuracy and reliability. Collaborate with business stakeholders … and deployments. Create technical documentation and provide end-user support and training. Follow data governance, security, and best practices for BI development. Key Responsibilities - ETL: Develop, maintain, and enhance ETL solutions using Informatica BDM/DEI, including mappings, workflows, applications, transformations, and reusable components. Support the migration of data assets ...

queries, develop stored procedures, and migrate legacy apps to support ICE Derivatives and ICE Mortgage. The candidate will design Snowflake-based data warehouses, develop ETL/ELT pipelines using SQL, Python, and Snowflake procedures, and collaborate with data engineers, analysts and product owners to deliver scalable data solutions. #J ...

Bitbucket Pipelines). Familiarity with security and compliance standards relevant to financial data. Experience with data migration tools (Data Loader, Data Import Wizard, or ETL tools). Work Environment Hybrid working model with 2 - 3 days per week on-site for collaboration with product and engineering teams. Modern tech stack ...

Integration Developer to take ownership of a business-critical integration platform while helping to modernise a legacy SSIS environment. This isn't your typical ETL/Data Engineering role. The focus is much more around application integration, workflow and owning a critical process end-to-end, while helping the business ...

QUALIFICATION Hands-on experience with cloud platforms (AWS, Azure, GCP) Experience 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 ...

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) Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones. You have ...