401 to 425 of 734 ETL Jobs in England

specification techniques Nice to have; 1. Working experience of Salesforce integration with SAP PM, SAP HR modules. 2. Integration experience with SAP PI/PO systems. 3. Knowledge on ETL tools- MS SSIS tools. 4. Involved or engaged in Trainining the targeted Salesforce audiences as per requirement" Mandatory Skills: Salesforce B2C Solution Architecture.Experience: >10 YEARS.Reinvent your world. We are building More ❯

Services, AWS Integration Services, Google Cloud Integration). Expert-level understanding of API design principles (REST, SOAP), API management platforms, and microservices architecture. Proficient in various integration patterns (e.g., ETL, EAI, B2B, real-time streaming, batch processing). Strong experience with cloud-native integration services and hybrid cloud environments. Expertise in various data formats (JSON, XML, EDI) and messaging protocols More ❯

and know how to bring together data from all kinds of sources, whether that's batch files or real-time streams. You'll have set up and worked with ETL and ELT tools like Dagster, AWS Glue, Azure Data Factory, Airflow or dbt, and you can decide what tools are right for the job. You'll have an understanding of More ❯

or equivalent) Strong SQL capability. Experience working/leading Workday data migration workstream for at least one end to end Workday implementation. Provide guidance on Workday Data Migration and ETL best practices. Work closely with clients to understand their needs and requirements. Support clients during the data mapping and data validations. Good knowledge of Workday Reporting and experience with Data More ❯

necessary Experience with Google Platforms: Google Analytics, Google Ads, Google Search Experience with Snowflake or any other relational database Strong SQL skills + Experience with design and development of ETL processes Experience with user-facing analytics platforms: Tableau, Superset, Microstrategy Advanced Excel skills required, including proficiency with pivot tables and VLOOKUP; equivalent Google Sheets experience preferred Operational experience in measuring More ❯

bring fresh thinking to your work. Support the execution of the data advertising strategy to drive increased direct/programmatic direct revenue. Work collaboratively with stakeholders to develop the ETL process and develop initiatives that increase zero- and first-party data collection and enrichment. Skills and Experience Essential Experience in analysing data and using data visualisation tools (preferably DOMO). More ❯

bring fresh thinking to your work. Support the execution of the data advertising strategy to drive increased direct/programmatic direct revenue. Work collaboratively with stakeholders to develop the ETL process and develop initiatives that increase zero- and first-party data collection and enrichment. Skills and Experience Essential Experience in analysing data and using data visualisation tools (preferably DOMO). More ❯

following product/solution development lifecycles using frameworks/methodologies such as Agile, SAFe, DevOps and use of associated tooling (e.g., version control, task tracking). Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the More ❯

generation technology. Data Support : Assist the Head of Data and Technology as a Subject Matter Expert in Data. Act as a senior custodian of the WRBU Data Platform; administering ETL/ELT pipelines, completing peer/code reviews, ensuring the integrity of WRBU data, and holding accountability for data integrity and accuracy. Data Warehousing : Help manage aspects of the data … warehousing landscape and data movements, including assisting with solution design for new and existing requirements. Collaborate with the business to understand needs. Design and develop ETL/ELT processes, data lake storage architecture, data warehouse, data marts, cubes, reports and dashboards; in-line with the company data management framework and enterprise data strategy. MI Development and Maintenance : Support the development More ❯

generation technology. Data Support : Assist the Head of Data and Technology as a Subject Matter Expert in Data. Act as a senior custodian of the WRBU Data Platform; administering ETL/ELT pipelines, completing peer/code reviews, ensuring the integrity of WRBU data, and holding accountability for data integrity and accuracy. Data Warehousing : Help manage aspects of the data … warehousing landscape and data movements, including assisting with solution design for new and existing requirements. Collaborate with the business to understand needs. Design and develop ETL/ELT processes, data lake storage architecture, data warehouse, data marts, cubes, reports and dashboards; in-line with the company data management framework and enterprise data strategy. MI Development and Maintenance : Support the development More ❯

individual who has experience working with enterprise grade data pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as … infrastructure components Experience deploying could data infrastructure services Programming experience in Python Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Skills and experience we’d love you to have... But if not? We’ll help you get there: Understanding of cloud computing security More ❯

of large, complex data sets. What You'll Do Develop and maintain automated data processing pipelines using Google Cloud: Design, build, and maintain data pipelines to support data ingestion, ETL, and storage Build and maintain automated data pipelines to monitor data quality and troubleshoot issues Implement and maintain databases and data storage solutions: Stay up-to-date with emerging trends … in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow. Proficiency in at least one programming language such as Python, Java, or Scala. Strong analytical and problem-solving skills with More ❯

days per week in the office Some of the main duties of the BI Developer will include: Design, develop, and maintain SSIS packages in Visual Studio to support ETL processes Build and optimise interactive dashboards and reports in Power BI, ensuring performance and usability Integrate customer and commercial data from multiple internal and external sources into meaningful business insights Collaborate … based data platforms Familiarity with scripting languages like Python for data manipulation Experience with Power BI for report building, data modeling, and DAX Strong understanding of Visual Studio and ETL processes Ability to work across multiple teams and balance multiple priorities Excellent analytical and problem-solving skills, with attention to detail Clear and confident communication skills, both written and verbal More ❯

in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights, optimise performance, and automate business processes will also be a part of … Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage AI capabilities within the platform and More ❯

in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights, optimise performance, and automate business processes will also be a part of … Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage AI capabilities within the platform and More ❯

in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights, optimise performance, and automate business processes will also be a part of … Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage AI capabilities within the platform and More ❯

in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights, optimise performance, and automate business processes will also be a part of … Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage AI capabilities within the platform and More ❯

have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Qualification Key responsibilities Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice Define, document and iterate data mappings based on concepts and principles of data modelling … below. Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data More ❯

teams, infrastructure support teams, key suppliers, and other Boeing programs applying the same technologies. As part of your role, your duties and responsibilities will include: Designing, developing and implementing ETL (Extract, Transform, Load) processes, using SAP Data Services. Create and maintain data flows, jobs, and workflows to ensure efficient data processing. Identify, troubleshoot, and resolve defects in existing data integration More ❯

design technical architectures, customer requirements and query optimization of scalable and distributed systems. Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures. Experience with aspects of cloud computing (infrastructure, storage, platforms and data), technical business, data analytics, or More ❯

programming experience in Python Proven experience working on the MS Azure cloud platform and its native tech stack in designing and building data & AI solutions Experience with data modeling, ETL processes, and data warehousing Knowledge of big data tools and frameworks such as Spark, Hadoop, or Kafka More ❯

Docker, and AWS infrastructure (CDK, Terraform). Solid understanding of API services, authentication methods (JWT, SSO), and clear, pragmatic communication skills. Maintain, upgrade, and improve existing systems and custom ETL pipelines. Collaborate with developers, data scientists, and QA teams to enhance tooling, processes, and documentation. Guide best practices and governance for web applications and services. What you need to do More ❯

re currently looking for multiple Data Engineers to come on board and really own the data capability of the business.You will be designing, building, and maintaining scalable and reliable ETL/ELT pipelines using AWS services. implementing data validation, quality checks, and lineage tracking across pipelines, automate data workflows and integrate data from various sources.Tech you will use and learn More ❯

reports, and visualisations to communicate findings clearly and support data-driven decision-making. Leverage CRM data (via Salesforce), for segmentation, campaign performance tracking, and reporting use cases. Contribute to ETL/ELT workflows and data transformation processes, ensuring robust and efficient pipelines. Ensure data integrity through rigorous validation to maintain accuracy, completeness, and reliability in reporting. Support data governance and More ❯

with hybrid flexibility Collaborate with a welcoming team that values teamwork and innovation. As a SQL Developer, you'll: Design and develop efficient SQL procedures, views, and functions. Strong ETL Experience Optimise query performance and troubleshoot complex issues. Use tools like SSIS ADF, with exposure to Synapse or SSAS data warehouse design. Integrate data across remote servers and leverage Microsoft More ❯