476 to 500 of 1,173 ETL Jobs in England

Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced ...

including audit trails, confidence scoring, and human‐in‐the‐loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. ...

and analytics tools). Experience operationalizing customer data as governed data products, including audience and segment-definition in SQL or natural language (Genie), reverse-ETL and activation pipelines, and metric, identity and consent governance in Unity Catalog. Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations ...

experience supporting operational, analytical or historical reporting workloads. Experience with cloud-native data technologies or modern data platform tooling. Experience with Data Orchestration/ETL processes. Understanding of data governance, metadata management, data quality and data lineage practices. Awareness of AI-assisted tooling and its responsible use within data engineering ...

preferred, as HubSpot is and will remain the primary source of data Hands-on experience with at least one iPaaS, Master Data Management or ETL/ELT platform (for example Workato, Celigo, Boomi, Tray.io, Informatica, MuleSoft or Syncari). Syncari-specific experience is not required, and structured onboarding and ramp ...

Data Ingestion & Streaming (Kafka or similar), SSO, LDAP, IT Security, Agile, etc. Experience in industry with experience to work on Python, SQL, data pipelines & ETL processes for large volumes of data is a plus. Knowledgeable about security and compliance topics for enterprise applications. Solid experience with project management, outstanding customer ...

SDK. Familiarity with MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources Basic data pipeline or ETL experience feeding data into AI systems Awareness of AI specific security, compliance, and governance considerations (data handling, model risk, responsible use policy), particularly relevant given ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

strong advantage. Additional qualifications preferred: Celonis Certifications and Experience with OCPM and Case Centric Data Pipelines. AWS/Azure/GCP Certifications. ESB/ETL Certifications (Mulesoft, Oracle, SAP, Talend, Informatica).TOGAF/Zachmann Certification. Experience in at least two domains among: Finance, Manufacturing, Supply Chain, Customer/Consumer Management ...

complex datasets Strategic thinker, comfortable structuring a nebulous problem statement and working it through to a clear recommendation Working knowledge of Python Familiarity with ETL workflows and debugging data issues Proven experience with A/B testing design and interpretation Hands-on experience with visualisation tools (Looker, Tableau, or similar ...

offering recommendations to the client, that will enhance project scalability. Duties and Responsibilities: Consultation: Delivering first-class data consulting services to SDG’s clients ETL/ELT Implementation: Data processing and development of ETL/ELT processes Architecture Support: Support the design of data models and architecture under the guidance ...

Delta Lake. Develop and implement modern Lakehouse architectures, applying Medallion (Bronze, Silver, Gold) design principles to support trusted and reusable data products. Build robust ETL and ELT processes that ingest, transform and curate large, complex and diverse datasets. Drive best practice in data quality, monitoring, alerting and operational support … Databricks, PySpark, Spark SQL and Delta Lake. Experience designing and implementing Lakehouse architectures, including Medallion (Bronze, Silver, Gold) data models. Expertise in developing scalable ETL/ELT pipelines capable of handling large and complex datasets. Understanding of modern cloud data platforms, particularly Azure and/or AWS. Experience implementing data ...

Data Engineer (Associate Manager), you will: Design and develop scalable data solutions using Microsoft Azure and Microsoft Fabric. Build data pipelines and ETL/ELT solutions using Azure Data Factory, Databricks and/or Synapse. Develop data processing solutions using SQL, Python and PySpark. Design and optimise data lakes, lakehouses … Fabric, Databricks and/or Synapse. Strong SQL, Python and/or PySpark skills. Experience with Azure Data Lake/OneLake, data modelling and ETL/ELT. Understanding of data governance, security and enterprise data architecture. Proven experience managing technical delivery and engineering teams. Strong Agile, stakeholder-management and client ...

data engineers, providing technical guidance, data product development and fostering a collaborative environment. Design, develop, and maintain robust and scalable data pipelines and ETL processes to support data integration, transformation, and storage needs. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and … incidents. What We Need From You Proven experience (5+ years) working as a Data Engineer, with a focus on designing and implementing data pipelines, ETL processes, data warehouses and stakeholder/data consumer management. Strong programming skills in languages such as Python, familiarity with large scale, distributed data processing engines ...

Data Engineer (Associate Manager), you will: Design and develop scalable data solutions using Microsoft Azure and Microsoft Fabric. Build data pipelines and ETL/ELT solutions using Azure Data Factory, Databricks and/or Synapse. Develop data processing solutions using SQL, Python and PySpark. Design and optimise data lakes, lakehouses … Fabric, Databricks and/or Synapse. Strong SQL, Python and/or PySpark skills. Experience with Azure Data Lake/OneLake, data modelling and ETL/ELT. Understanding of data governance, security and enterprise data architecture. Proven experience managing technical delivery and engineering teams. Strong Agile, stakeholder-management and client ...

analyst, you will work across business and technology teams to design and deliver valuable data features, support enterprise data change and transformation initiatives, and extract measurable value from our client data. You will play a pivotal role by leading analysis projects that drive business impact through data. Lead collaboration with … users to the executive level. Conduct comprehensive data analysis to support business decisions, enhance data quality, and resolve operational issues using SQL, Python, and ETL tools. Present and communicate clear and timely findings to business and technical stakeholders. Provide strategic insights and recommendations to influence business decisions. ...

availability, integrity and performance of enterprise data platforms. Key Responsibilities Design, develop and maintain Oracle-based data solutions and data pipelines. Build and optimise ETL/ELT processes to support business intelligence and analytics requirements. Develop and maintain Oracle databases, schemes, stored procedures, functions and packages. Ensure data quality, governance … where required. Produce technical documentation and contribute to best practice standards. Essential Skills & Experience Strong experience working with Oracle Database technologies. Proven experience in ETL development, data integration and data migration projects. Strong SQL and PL/SQL development skills. Experience designing and maintaining large-scale data warehouses and data ...

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 and Snowflake Working with business users to design and configure self-serve data environments within our snowflake data lake Analysing, developing … when required. Adaptable, with a strong appetite for technical challenges and continuous learning. Minimum criteria Experience designing and building data warehouses/lakehouses using ETL/ELT tools, preferably Oracle ODI Strong database development experience with Snowflake, Oracle and/or PostgreSQL Strong understanding of dimensional modelling and star schema ...

Data Lake platforms. 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 and Snowflake Working with business users to design and configure self-serve data environments within our snowflake data lake Analysing, developing … when required. Adaptable, with a strong appetite for technical challenges and continuous learning. Minimum criteria Experience designing and building data warehouses/lakehouses using ETL/ELT tools, preferably Oracle ODI Strong database development experience with Snowflake, Oracle and/or PostgreSQL Strong understanding of dimensional modelling and star schema ...

accomplished and detail-oriented Snowflake Data Engineer to join our Data & AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimizing modern data ecosystems that … engineers to deliver high-quality scalable data solutions. Technical Expertise Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands ...