20 of 20 ETL Jobs in Staffordshire

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 ...

this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection ...

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 ...

best practises, including data security, data quality and data lineage. Other requirements include: Comfortable working in Microsoft Stack (Fabric, Azure, Power BI) Knowledge of ETL processes, semantic layers and tools like DBT Proficiency in Python for data manipulation and automation Ability to challenge assumptions and educate senior staff on data ...

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 ...

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 ...

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 ...

conscience of the programme - reviewing architecture, data models, pipelines, and design decisions Support development of data pipelines, Fabric workloads, and Power BI integration Validate ETL/ELT processes, migrated datasets, and performance optimisation approaches Ensure data governance, security, privacy, and quality standards are embedded from day one Confidently challenge vendors ...

Python for data engineering tasks hands-on experience with cloud platforms – AWS or GCP is essential, both would be highly beneficial Deep understanding of ETL/ELT processes and data pipeline development Strong problem-solving skills and the ability to work independently in remote settings Excellent communication skills and ...

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. ...

analytic databases Excellent verbal and written communication skills; able to convey technical details to non-technical audiences Previous technical experience within the following; SQL, ETL & PowerBI Ideally worked within SaaS based organisations ...

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 ...

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 ...

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 ...

balance autonomy with alignment Ideally, experience working on payment systems such as Stripe or similar Ideally, experience working on data extraction, integration, or ETL platforms Interview Process 2 stages over Zoom 1st stage will be an introductory call 2nd stage will involve a pair programming session ...

both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Extensive hands-on expertise with SQL and SQL analytics and scripting languages like Python, Bash, Shell … Business Objects, Tableau) Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, OpenStack, etc.) Experience implementing ETL pipelines using custom, packaged tools and software development experience using C/C++, Java etc. SnowPro Core Certification ...

expert within Azure Databricks and PySpark. You'll help to upskill our teams knowledge of Databricks, get involved in data modelling and ETL pipeline development, integrations, and performance tuning. This is an ever evolving project as the business becomes more and more data driven and your knowledge of Databricks will … project. What you’ll be doing: Leading the design and implementation of a new Databricks-based data warehousing solution Designing and developing data models, ETL pipelines, and data integration processes Large scale data processing using PySpark Monitoring, tuning, and optimising data platforms for reliability and performance Upskilling the wider team ...

through personally developed code, solution architectures and implementation recommendations Act as a trusted advisor to customer executive leadership for thought leadership and solution approaches Extract business requirements from customers and translate them into a well-architected recommendation Develop and provide forward looking guidance and future state roadmaps Leverage known best … lead role for analytics projects for large enterprises Experience implementing and operating Snowflake centric solutions Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging ...