21 of 21 Remote/Hybrid ETL Jobs in Central London

and maintaining high-performance data pipelines ingesting structured and unstructured datasets from a variety of internal and external sources. Developing ingestion processes including scrapers, ETL pipelines, crawlers, streaming jobs, and services. Cleaning, transforming, and enriching datasets to ensure high quality and usability across analytics and trading use cases. Designing storage ...

collaborative environment where data is seen as a strategic asset and where new ideas are encouraged. The Role • Develop and maintain scalable ELT and ETL pipelines using Azure Data Factory and Databricks. • Build and optimise transformation logic in Databricks using Python, SQL and Spark. • Model datasets across Bronze, Silver and ...

Revit, Revit API, pyRevit, Rhino, Grasshopper, IES VE (and its Python API), BIM data standards (IFC, COBie) Cloud & Infrastructure: AWS/Azure, Git, Ansible Extract, Transform and Load (ETL) Responsibilities Key responsibilities of the role In addition to the core technology listed above, this role will involve: Designing and implementing ...

. The right person will be comfortable sitting between data engineering and security/IAM teams . What youll be doing Build and maintain ETL/ELT pipelines using Azure Data Factory, Databricks and SQL Server Develop and support data models, reporting layers and curated datasets for IAM/access ...

practices. Key Responsibilities Design and maintain scalable data architectures across Snowflake and Databricks Lead schema design, dimensional modelling, and SQL performance optimisation Build robust ETL/ELT pipelines Develop resilient API ingestion workflows Implement data quality frameworks and enforce data contracts Build CI/CD pipelines and automated testing ...

organisation through training and internal champions Ensuring GDPR compliance and robust data security controls throughout Essential Experience: Solid, hands-on understanding of data warehousing, ETL/ELT processes, data modelling and Medallion architecture Experience managing vendors delivering hosted or managed data warehouse solutions Ability to design and implement governance frameworks ...

and ready for business-as-usual handover. Required Skills & Qualifications: Proficient in Python, Scala, and SQL. Extensive experience in data modelling and ELT/ETL processes. Strong hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, Composer, and Cloud Run/App Engine. Familiarity with ...

backend Python, REST APIs and microservices You have a good knowledge of AWS including Amazon RedShift You have experience with PostgreSQL, DBT, data pipelines, ETL, data modelling, LLMs and agentic programming You have a good understanding of event driven systems You're comfortable working with complex, data rich environments and ...

Extras: Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis. ...

and security standards. Skills Required: Previous experience in a data role. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Knowledge of ETL processes and data warehousing concepts. Strong analytical and problem-solving skills. Strong presentation skills, both written and verbal; able to describe complex technical problems ...

based applications and scalable data pipelines. Debug, develop, and optimize Spark jobs primarily using Scala. Build, operate, monitor, and troubleshoot Hadoop clusters. Develop robust ETL workflows using Spark, Hive, and Pig. Create and manage data ingestion pipelines using Sqoop, Flume, or Kafka. Optimize MapReduce jobs and efficiently manage HDFS storage. ...

data pipelines, including troubleshooting incidents, conducting root cause analysis, managing SLAs, and improving resiliency across business-critical data feeds. Requirements: SQL Python/Bash ETL/ELT support Workflow orchestration (Airflow or Dagster) AWS data services (Athena, S3, MWAA, Iceberg) Data quality monitoring & incident management Nice to Have: Airbyte ...

stakeholders across multiple teams. Key Responsibilities: Collaborate with engineers across legacy systems to understand available data and its structure. Design queries and scripts to extract, transform, and migrate data into new platforms. Partner with senior data leadership to define cold-storage solutions for regulatory data retention. Work with solution architects … design migration-day data processes for partner onboarding. Build and maintain ETL pipelines and workflow automation using Snowflake and Apache Airflow. Document processes, learnings, and development work using version control best practices. Implement robust data quality checks and reconciliation processes throughout pipelines. Collaborate with platform and infrastructure teams on security ...

projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and ...

Data. Responsibilities: Lead the design, build and optimisation of the enterprise data warehouse, including sourcing, validation, ingestion and data architecture. Develop and manage automated ETL pipelines and workflows for financial datasets. Integrate data warehouse outputs with Salesforce, PowerBI, pricing platforms and other analytical endpoints. Ensure accuracy, consistency and scalability … data analysis and enterprise level data systems. Advanced SQL expertise with the ability to build complex queries and tables. Hands on experience managing ETL processes and working to tight project timelines. Must have strong knowledge of financial data, accounting principles and CIB business information frameworks. Experience working with large and ...

and data replication patterns. Knowledge of CDC mechanisms: database log-based CDC, trigger-based CDC, and timestamp-based extraction. Experience with Talend or equivalent ETL tooling for on-premises source extraction. Familiarity with MongoDB data extraction and transformation patterns. Experience designing integration architectures for multi-source estates of 10+ systems. ...

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 ...

find the best team to suit your skillset/interests but you could be working on: • Some of the world’s most performant ETL pipelines that deal with billions of data points every second • Software solutions/products with scale, reliability and latency considerations in mind • R&D work ...

Maintain legal entity hierarchies, system configurations, access controls, and user permissions. Partner with accounting teams to resolve D365 issues and ensure smooth daily operations. Extract data and perform ETL tasks; manage integrations and data flows between systems. Gather and document business requirements for new functionality, modules, and localisation. Lead testing ...

Assignments are Inside IR35, hybrid working. Initially 6-9 months. About the role/Experience with: Experience with Python for data pipelines, export services, ETL, reconciliation, profiling scripts Data quality assessment Apache Kafka PostgreSQL for data modelling, query design, migrations etc Data modelling and schema design REST API design Ideally … have: Experience of C# to be able to contribute to existing service/integration codebase Memgraph or other graph databases/Cypher Jupyter notebooks; ETL/ELT; Git/GitHub workflows and automated testing Elasticsearch, Data visualisation, CI/CD About you (ideally): As a Data Integration Engineer ...

frameworks, including feed‐level A/B tests. • Understanding how data flows through architecture and helping shape technical solutions. • Working with engineering teams on ETL processes and pipeline health. • Using tools such as Intelligent Reach, GCP, and Snowflake to support accurate data transformation. • Collaborating closely with digital marketing teams … right customers. Your Skills and Experience • Strong experience working with product and stock feeds in a digital or ecommerce environment. • Strong understanding of ETL processes, data pipelines, and real‐time data architecture. • Experience working with GCP or similar cloud environments. • Hands‐on exposure to marketing technology platforms such as TikTok ...