26 to 50 of 409 Permanent ETL Jobs in England

various teams to understand data requirements and implement solutions. > Optimizing data workflows and processes to enhance data quality, reliability, and performance. > Developing and managing ETL processes for data ingestion, processing, and transformation. > Implementing data governance practices to ensure data integrity, security, and compliance. > Monitoring and troubleshooting data infrastructure to address more »

capabilities and support our Finance business partners in their decision-making processes. Key responsibilities include: Design, build, and maintain efficient, reliable data pipelines using ETL and ELT processes. Ensure the seamless flow and availability of high-quality data across the organisation Use Snowflake for data storage, processing, and analytics. Optimise more »

impact on internal stakeholders and customers is understood Qualifications Who we're looking for: Proficient across many domains of data engineering, including ELT/ETL, metadata management, data integration, data management in transit and at rest and data streaming Experience of Kimball modelling techniques to design databases & data warehousing solutions more »

model to meet new business requirements2+ years managing an analytics engineering team using a scrum/agile methodologyExperience working with commercial data warehouses (Redshift), ETL tools (Dbt), data visualization (Python notebook, Thoughtspot, Looker, Tableau, Hex), and Data Dictionary tools (Atlan)Demonstrated experience leading 2 or more multi-department analytics projects more »

Modelling, Data Point Modelling etc.), data architecture design patterns and paradigms (e.g. data lakehouse, medallion architecture, data vault, data mesh), data integration and engineering (ETL, ELT, CDC) for enterprise scale analyticsExperience designing data pipelines, data lakes and data warehouses to support data storage (SQL, NoSQL), processing analytics and visualisation solutions more »

to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, and load data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »

believe in the power of being... YOU! About the role We are seeking a highly skilled Senior Data Engineer with a strong focus on Extract, Transform, Load (ETL) processes to join our growing team. This role will be fully remote, offering flexibility and the chance to contribute significantly to our … data infrastructure. Key responsibilities of the Senior Data Engineer; Design, develop, and implement robust ETL pipelines to extract data from various sources (databases, APIs, etc.). Cleanse, transform, and validate data to ensure high quality and consistency before loading it into data warehouses or data lakes. Designing and implementing CI …/CD workflows for data engineering projects. Optimize ETL processes for efficiency, scalability, and performance. Develop and maintain documentation for data pipelines and data models. Troubleshoot and resolve ETL-related issues, ensuring data accuracy and integrity. Collaborate with data analysts, data scientists, and other engineers to understand data needs and more »

functional capabilitiesProven track record of delivering value through data products in a fast-paced, agile environment.Extensive knowledge of data principles, architecture/modeling, ingestion, ETL principles and practicesExtensive knowledge of Azure based big data platform & exposure to other clouds such as GCP is desirable.Experience in architect and design data platforms more »

of team, including ways of working, engineering principles, data governance and best practice. Become an SME on the design, development, and deployment of data ETL pipelines (using Azure Data Factory and other technologies) to access, combine and transform data from on-prem and cloud-based sources. Ensure that all data more »

of team, including ways of working, engineering principles, data governance and best practice. 3.Become an SME on the design, development, and deployment of data ETL pipelines (using Azure Data Factory and other technologies) to access, combine and transform data from on-prem and cloud-based sources. 4.Ensure that all data more »

data pipelines for data ingestion, processing, and transformation in Azure. Utilise Azure Data Factory, Azure Databricks and SAP Business Objects to create and maintain ETL operations. Deliver dashboard reporting and data sets which are interactive and user-friendly via PowerBI Identifying and integrating external data into the business data model more »

consulting firm. Proficiency in Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc. Strong understanding of ETL processes, data modeling, and data warehousing principles. Experience with programming languages such as SQL and Python. Familiarity with data visualization tools such as Power BI more »

reliable within the Google Cloud Platform. Effective documentation and communication of solutions to both technical and non-technical stakeholders are essential. Candidate Profile: Extensive ETL/ELT background with experience in developing data pipelines, optimizing queries, and enhancing database performance. Proficient in data modeling and data warehousing. Multiple years of more »

within the Google Cloud Platform. Effective documentation and communication of solutions to both technical and non-technical stakeholders are essential. Candidate Profile: l Extensive ETL/ELT background with experience in developing data pipelines, optimizing queries, and enhancing database performance. l Proficient in data modeling and data warehousing. l Multiple more »

of the below: - Cloud technology (Azure or AWS) - this organisation are migrating to cloud soon, so any experience here would be great - Data engineering (ETL) - designing and developing processes, both on-premise and maybe even cloud - Exposure to BI Tooling - Power BI would be great, however other tool are considered more »

Azure. Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics. Strong SQL and Python skills. Experience with data modeling, ETL processes, and data warehousing. Knowledge of big data technologies such as Spark and Hadoop is a plus. Excellent problem-solving skills and attention to detail. more »

and data transformation.Strong experience in managing and leading data engineering teams.Strong proficiency in Scala, Python, SQL, Snowflake and DBT.In-depth understanding of data modelling, ETL processes, and data warehousing concepts.Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and containerisation technologies (e.g., Docker, Kubernetes) is a plus.Excellent problem-solving more »

to work with a team of experts who are passionate about harnessing data to create impactful solutions. Key Responsibilities: Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to ensure efficient data flow and integration across various systems. Utilize Python for data manipulation, transformation, and automation tasks. Collaborate with … a Data Engineer or in a similar role. Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). Extensive experience with ETL tools and processes. Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficient in SQL and experience with relational databases (e.g., PostgreSQL more »

to their diverse clientele. Position Overview: Theseus is representing our client in their search for a Permanent Data Consultant with expertise in data migration, ETL (Extract, Transform, Load), and advanced SQL skills. In this role, you will play a pivotal part in delivering high-quality solutions and driving business success … Key Responsibilities: Lead and execute end-to-end data migration projects, collaborating closely with clients to understand their unique requirements. Utilise your expertise in ETL processes to design and implement efficient data movement solutions. Harness your advanced SQL skills to optimise database performance and ensure data integrity. Provide technical leadership … Bachelor's degree in Computer Science, Information Technology, or related field. Proven track record in successfully delivering data migration projects, with strong proficiency in ETL techniques. Advanced SQL skills, with the ability to write complex queries and optimise database performance. Familiarity with the Microsoft stack, particularly Dynamics 365 CE, is more »

operating Operational Datastore/Data Lake/Data Warehouse platforms at scale with high-availabilityData integration: Familiarity with data integration tools and techniques, including ETL (Extract, Transform, Load) processes and real-time data streaming (e.g., using Apache Kafka, Kinesis, or Pub/Sub), exposing data sets via GraphQLCloud platforms expertise more »

with key stakeholders across the business to understand how data can be used to improve business performance - Develop and create the data sets, repositories, extract/transform/load routines and validation mechanisms - Establish the integration with all databases and software systems - currently in place is Netsuite as the ERP more »

levers, and lead metrics for performance improvement. Develop and create the data sets needed for BI and analytics including, where needed, the data repositories, Extract/Transform/Load routines and validation mechanisms needed to underpin reporting and analysis. Establish the integration with other databases and systems in conjunction with more »

and communicate how our data inputs and outputs affect different groups and identify areas Janes can provide additional value. Requirements Experience architecting and developing ETL pipelines solutions for the ingestion, transformation, and serving of data, as well as solutions for the orchestration of pipeline components (e.g. AWS Step Functions, Apache more »

systems. Promote best practices and principles of data quality throughout the organisation. Required Skills and Experience: Advanced proficiency in MS SQL Extensive experience with ETL techniques, data warehouse design, and data visualisation Command of Microsoft tools such as Fabric, Data Factory, and Power BI Excellent communication, presentation, and stakeholder management more »

Python (JSON format). - Essential Proven work experience as a Data Engineer or in a similar role Experience with data modelling, data warehousing and ETL frameworks Proficiency in working with relational databases (e.g., Oracle, PostgreSQL), Parquet/Delta files and big data technologies (e.g. Synapse, Hadoop, Spark, Kafka) Knowledge of more »