201 to 225 of 633 ETL Jobs in London

learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL) Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD Strong focus ...

Oracle eBusiness Suite background with recent cloud experience (e.g, SQL/PLSQL/Java/OAF/BI/Forms/Reports.* Data Migration, ETL, knowledge. A strong candidate will have experience in data migration from Oracle eBusiness Suite to Oracle Fusion Cloud and experience using Oracle Data Integrator ...

/CD in GitLab (or equivalent); infrastructure-as-code (e.g. Terraform); observability and monitoring stacks.* Solid understanding of database systems, SQL, data modelling, ETL pipelines, REST/gRPC APIs and microservices architecture; identity and access management with OIDC/SAML and Azure Entra ID.* Experience with LLMs, RAG systems, prompt ...

secure and maintainable Requirements 6+ years experience Data Architecture/Engineering Strong experience designing scalable data and application architectures Strong knowledge of data modelling, ETL/ELT, data warehouses and data lakes/lakehouses Experience with APIs, integrations and enterprise systems Cloud experience, ideally Azure Strong SQL and Python knowledge ...

Data Engineer, Analytics Engineer, Data Platform Engineer and Data Architect. We are looking for a core stack of SQL and Python, with experience across ETL and ELT, orchestration, streaming and data warehousing, using tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure. Some ...

Google Premier Partner. You will actively engage with clients, gathering requirements, creating the appropriate structure for data in ERA data warehouses and develop robust ETL processes - thus ensuring the integrity of the data. Your role will be instrumental in the creation of a new data lake/warehouse/ ...

Experience within legal, professional services or other highly regulated environments. Knowledge of Azure SQL, Azure Data Services or cloud-hosted database platforms. Experience with ETL processes and data integration. Familiarity with Power BI, SSIS, SSRS or SSAS. Experience supporting business-critical applications and enterprise systems. Contract Details Role: SQL Database ...

production environments. Solid knowledge of Hive, Impala, HDFS, and Parquet . Advanced SQL skills; experience with Oracle databases . Experience designing and supporting ETL/ELT pipelines and data quality frameworks . Working knowledge of Autosys& Apache Airflow Experience with CI/CD tools (Git, Harness, UrbanCode Deploy ...

something you are passionate about. My client is based in Central London but the role is remote for the immediate future. Jitterbit, BI, Salesforce, ETL, DATA,, EC2, DevOps, Linux, AWS, Java, CLoudwatch ...

something you are passionate about. My client is based in Central London but the role is remote for the immediate future. Jitterbit, BI, Salesforce, ETL, DATA,, EC2, DevOps, Linux, AWS, Java, CLoudwatch ...

deployment scenarios. Essential Skills and Experience Strong Python skills for scripting and automating data processes across varied environments. Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on‐premises and Azure) environments. Practical experience with Azure Data Factory in environments. Proven ability in managing and deploying ...

Underwriting Datamart based on Databricks platform. Champion the adoption of Cloud computing for Underwriting, driving seamless integration and best practices. Develop and maintain automated ETL pipelines to increase efficiencies within the target operating model (TOM). Collaborate with Data Science and Data Program Manager to create, maintain, and enhance reports ...

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 ...

data solutions at scale Experience with IAC and CI/CD pipelines to ensure reliable, repeatable, and automated deployments An understanding of data modelling, ETL/ELT processes, and best practices for data quality and governance Collaborative mindset, with the ability to work closely with stakeholders such as Exposure Management ...

where you’ll build, shape, optimise, and innovate every single day. 1. Build Next‐Generation Data Pipelines You will: Design and maintain graph‐based ETL pipelines capable of pulling together structured and unstructured data everything from text corpora to company registries, shipping manifests, and financial records. Develop robust extraction workflows ...

dedicated IT Integration Manager or Lead Integration Engineer role. Strong hands‐on experience with various integration technologies and patterns (e.g., REST, SOAP, Message Queues, ETL). Proven experience with at least one major iPaaS platform (e.g., MuleSoft, Dell Boomi, Informatica Cloud Integration, Workato). Solid understanding of enterprise application integration ...

engineering and strong communication skills that allow you to work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message ...

years as a Data Engineer working on scalable data platforms, ideally in product-led or high-growth environments. Solid experience designing, building, and operating ETL/ELT pipelines and large-scale data architectures. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg ...

evolve the platform. Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScriptCloud: AWS (primary), some GCPWarehouse & Storage: Snowflake, S3/ParquetData & ETL: dbt, FivetranPlatform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp VaultObservability: Datadog, GrafanaDashboarding: PresetOther: ClaudeWhat we're looking forStrong fundamentals and the ability to apply them ...

platform. Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability: Datadog, Grafana Dashboarding: Preset Other : Claude What we’re looking for Strong ...

solutions effectively within the project team and across stakeholders and end-users; Mentor junior team members. Key accountabilities Experience with data platform, data workflow, ETL process, systems integration and APIs is a must-have. Solid knowledge on relational and non-relational data, structured and non-structured data is a must ...

Engineering: Proficiency in SQL and relational databases (e.g., PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). ...

years as a Data Engineer working on scalable data platforms, ideally in product‐led or high‐growth environments. Solid experience designing, building, and operating ETL/ELT pipelines and large‐scale data architectures. Hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg ...

Looker, Data Studio, Tableau, or similar platforms Prior experience mentoring junior analysts or leading small data-focused initiatives with limited supervision Previous exposure to ETL tools such as dbt and GitLab Exposure to writing prompts and interpreting responses from Large Language Models (LLMs) for data-related tasks Life ...

designing, building, and operating data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms ...