1 to 25 of 31 ETL Jobs in Kent

principles are followed throughout. In this role, you will be responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating ...

translate business requirements into robust technical architectures, ensuring best practices in data governance, security, and performance. Key Responsibilities Design and optimise data pipelines and ETL processes using Azure Data Factory and Databricks. Develop and maintain data models, transformations, and integrations across multiple systems. Collaborate with client teams to deliver high ...

translate business requirements into robust technical architectures, ensuring best practices in data governance, security, and performance. Key Responsibilities Design and optimise data pipelines and ETL processes using Azure Data Factory and Databricks. Develop and maintain data models, transformations, and integrations across multiple systems. Collaborate with client teams to deliver high ...

Terraform, AWS CodePipeline), and integration with databases such as SQL Server, PostgreSQL, Oracle, Redshift, and Synapse Strong hands-on background in building and optimising ETL/ELT pipelines using modern tooling and best practices Proficiency in reporting tools such as Power BI, Tableau, and QlikView Let's connect for more ...

technical stakeholders A degree in a quantitative field or equivalent experience Nice to Have Experience with Python or other scripting languages Knowledge of ETL processes or data warehousing concepts Familiarity with ERP systems such as Odoo An interest in data-driven technology environments Why This Role? Tunbridge Wells–based role ...

Looker or similar Familiarity with modern data transformation tools and workflows Experience working with cloud-based data warehouses Solid understanding of data architecture, ETL/ELT processes and reporting principles Ability to interpret business requirements and translate them into technical solutions A mindset focused on accuracy, performance and continuous improvement ...

helping make it better. Must have — strong practical experience in most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect ...

helping make it better. Must have — strong practical experience in most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect ...

Lambda, Lake Formation). Must have strong experience in SQL, Python, Spark or Iceberg. Must have strong Terraform experience Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker ...

Lambda, Lake Formation). Must have strong experience in SQL, Python, Spark or Iceberg. Must have strong Terraform experience Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker ...

Doing Designing and building a greenfield data architecture from scratch Creating scalable data pipelines for large, text-heavy and unstructured datasets Building ETL/ELT workflows that produce AI-ready datasets Implementing dataset versioning, reproducibility and data lifecycle management Supporting AI teams with training, validation and test data splits Embedding ...

communicate findings clearly to non-technical users. Nice to Have Background in sensitive or regulated data environments. Understanding of data protection considerations. Exposure to ETL or data pipeline development. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

. Hands-on development experience: Apex, SOQL, Flows, APIs. Experience managing or implementing Salesforce Data Cloud (CDP) or a similar CDP. Strong background in ETL/ELT, SQL, API integrations, and data pipelines. Experience integrating sales & marketing tools High literacy in data: schemas, transformations, deduplication, identity resolution. Comfortable translating ...

part of a team that ensures our data infrastructure is robust, efficient, and continuously evolving. Key responsibilities include: Designing, developing, and maintaining ETL processes Writing and optimising complex queries for data extraction and transformation Supporting BAU data operations and ensuring consistent data delivery Creating and managing reports Developing analytical models ...

part of a team that ensures our data infrastructure is robust, efficient, and continuously evolving. Key responsibilities include: Designing, developing, and maintaining ETL processes Writing and optimising complex queries for data extraction and transformation Supporting BAU data operations and ensuring consistent data delivery Creating and managing reports Developing analytical models ...

modeling tools (e.g., Erwin, Visio, Lucidchart) to create and maintain models that reflect business and technical requirements. Data Engineering & Pipelines Build, optimize, and maintain ETL/ELT pipelines for both structured and unstructured data. Implement scalable and efficient data warehousing solutions on relational and NoSQL platforms. Analytics & Reporting Develop and … relational and NoSQL databases such as Oracle, Sybase, PostgreSQL, SQL Server, MongoDB. Familiarity with big data platforms (e.g., Hadoop, Snowflake). Prior experience with ETL tools or as a SQL developer. Proficiency in Python for data engineering and Tableau for reporting and dashboards. Exposure to cloud platforms like AWS, Azure ...

Integration architecture Event-driven architecture patterns (distributed design patterns more generally is an advantage) API design, management, and governance Extensive experience improving and optimising ETL processes, presumably using IPaaS tooling Data architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient ...

Integration architecture Event-driven architecture patterns (distributed design patterns more generally is an advantage) API design, management, and governance Extensive experience improving and optimising ETL processes, presumably using IPaaS tooling Data architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient ...

Server, MySQL) to support scalable data architectures. Leverage BI tools like Power BI and Tableau for data visualisation and reporting. Collaborate on ETL and data engineering tasks, ensuring efficient data transformations with SQL, Excel, and DevOps tools. Support teams in utilizing JIRA, Visual Studio, and Office Suite for project management … experience with Databricks, Azure, Data Factory, Synapse, and ADLS. Experience with R & Shiny Proficient with BI/data analytics tools (Power BI, Tableau) and ETL/data engineering. Advanced SQL skills, with experience in SQL Server and MySQL. Familiar with DevOps practices and project management tools like JIRA and Visual ...

collaborate with internal stakeholders and external partners to deliver high-quality data for analytics, reporting, and decision-making. Key Responsibilities Develop and maintain automated ETL pipelines for data cleansing, transformation, and validation. Design and implement hybrid data ingestion strategies (batch, incremental, real-time). Contribute to unified data models and … knowledge transfer sessions. What We're Looking For Proven experience in data engineering, ideally with cloud platforms (Snowflake preferred). Strong understanding of ETL processes, data modelling, and integration from multiple sources. Familiarity with BI tools (PowerBI, Tableau) and data visualisation. Knowledge of data governance and compliance frameworks. Excellent collaboration ...

Modeling SaaS/Cloud architectures Oracle database architecture Architecting and tuning integrations (with products like Oracle Integration Cloud, Boomi, Mulesoft, Celigo, Workato or Snaplogic) ETL tools and techniques Experience in the following areas are desired: Software development life-cycles (SDLC) Release management and/or Agile scrum master experience Developing ...

work closely with client services, strategy and digital colleagues to build and maintain data pipelines and architecture, including data dictionaries, databases, and ETL processes using tools such as Adverity and BigQuery. You'll also help design and QA bespoke dashboards, maintain data integrity, and ensure consistent, clean, and accurate data ...

work closely with client services, strategy and digital colleagues to build and maintain data pipelines and architecture, including data dictionaries, databases, and ETL processes using tools such as Adverity and BigQuery. You'll also help design and QA bespoke dashboards, maintain data integrity, and ensure consistent, clean, and accurate data ...

take ownership of migration tasks, proactively identify risks, and collaborate closely with technical and business stakeholders. Key Responsibilities Design, develop, and execute ETL processes to migrate data from legacy systems to target platforms. Write and optimise complex SQL queries (preferably MySQL) to support data extraction, transformation, and validation. Apply … Essential: Proven experience in public sector large-scale data migration projects. Strong SQL development skills within MySQL environments. Solid understanding of data transformations and ETL workflows. Knowledge and application of data quality dimensions in migration processes. Familiarity with case management systems and associated data structures. Strong problem-solving mindset, with ...