1 to 25 of 67 ETL Jobs in Shrewsbury

Databricks, SQL Database, Data Factory, and T-SQL. In-depth understanding of London Market insurance data and Actuarial/Finance business processes. Experience with ETL processes, data modelling, and dimensional modelling techniques. Proficient with Azure DevOps, CI/CD, GIT, and deployment strategies. Proven track record in delivering cloud-based More ❯

reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment. Excellent communication and collaboration skills. More ❯

core GCP data services such as BigQuery, Composer, Dataform, Dataproc, and Pub/Sub. Strong programming skills in PySpark, Python, and SQL. Proficiency in ETL processes, data mining, and data storage principles. Experience with BI and data visualisation tools, such as Looker or Power BI. Excellent communication skills, with the More ❯

Fabric , and/or Azure Synapse Analytics Hands-on experience with Python and working with APIs and SFTP data connectors Knowledge of data modelling , ETL pipelines , and data governance principles Demonstrable experience in stakeholder engagement , especially with senior leaders and cross-functional teams Ability to work independently and manage multiple More ❯

SQL & Cosmos DB Azure Purview (for Data Governance) Azure Blob Storage & Data Lake Azure Event Hubs & Streaming Analytics Hands-on experience with data integration, ETL/ELT pipelines, and batch/real-time processing. Strong knowledge of data security, governance frameworks, and NHS interoperability standards (FHIR, HL7). Familiarity with More ❯

and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development … reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Essential: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms More ❯

On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and More ❯

Proficiency in Azure cloud services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault. Hands-on experience with ETL/ELT processes, data transformation, and data integration patterns. Programming and Scripting : Proficiency in SQL, Python, or other scripting languages for data manipulation and automation. More ❯

configuration. Proficiency in Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault. Hands-on experience with ETL/ELT processes, data transformation, and data integration patterns. Programming and Scripting: Proficiency in SQL, Python, or other scripting languages for data manipulation and automation. More ❯

SSRS) Design and implement complex SQL queries, stored procedures, and performance tuning Contribute to data warehouse architecture and dimensional modeling Work within OLAP and ETL frameworks to support scalable BI solutions Collaborate with cross-functional teams to translate business needs into technical solutions Required Skills & Experience: Proven experience in a More ❯

ingesting, transforming, and loading data from various sources (e.g., APIs, databases, files) into the Azure Databricks platform. o Implement data extraction, transformation, and loading (ETL) processes. o Ensure data pipelines are efficient, reliable, and scalable. Data Transformation & Processing: o Implement data transformations using Spark (PySpark or Scala) and other relevant More ❯

dashboards Maintaining and leveraging CI/CD deployment pipelines to promote application code into higher tier environments ✅ Must have requirements: Experience developing ELT/ETL ingestion pipelines Python SQL Azure cloud 👍 Bonus points for experience with: DBT CI/CD - e.g. Azure DevOps IaC - e.g. Terraform or Pulumi Data warehousing More ❯

reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor More ❯

be a SPOC for all technical discussions across industry groups. Excellent design experience, with entrepreneurship skills to own and lead solutions for clients Excellent ETL skills, Data Modeling Skills Excellent communication skills Ability to define the monitoring, alerting, deployment strategies for various services. Experience providing solution for resiliency, fail over More ❯

in: Azure Data & AI services (e.g., Azure Machine Learning, Azure OpenAI, Cognitive Services, Synapse) Programming with Python for data and AI workloads Data pipelines, ETL/ELT processes, and analytics foundations App development techniques to integrate AI capabilities Working in secure, enterprise-ready cloud environments Consulting fundamentals and effective customer More ❯

and aligned with business goals. Key Responsibilities: · Design, build and maintain robust data pipelines and transformation logic · Own data engineering processes across ELT/ETL, batch, streaming, and APIs · Collaborate with cross-functional teams to understand and deliver on business needs · Ensure regulatory compliance, data quality, and pipeline documentation · Optimise More ❯

ll play a key role in delivering high-quality data solutions across the business. Responsibilities include: Designing and leading the development of data pipelines, ETL processes, and reporting dashboards Ensuring data integrity and consistency through effective governance practices Supporting key projects across insurance, credit risk, and financial services Collaborating with More ❯

Data Engineer - Non-Profit/Health Charity - Cambridge (Tech Stack: Data Engineer, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Our client, a health-focused non-profit based in Cambridge, is seeking a Lead Data Engineer with deep AWS expertise to help shape their cloud data infrastructure. More ❯

meet current best practices and internal standards. Work closely with project managers and technical leads to integrate new enterprise data sources into ongoing projects. ETL Development Develop robust, automated ETL (Extract, Transform, Load) pipelines using industry-standard tools and frameworks, prioritizing scalability, reliability, and fault tolerance. Essential Skills & Experience Strong … ESRI, 3GIS, Bentley, Hexagon, Crescent Link, CadTel, etc.). Experience with business requirement analysis and the development of reporting and analytics structures. Familiarity with ETL solutions, including experience with SAFE FME, is highly desirable. Strong knowledge of data privacy regulations and practices. Exposure to analytics and reporting tools is considered More ❯

in Azure. Solid experience with data processing frameworks (Databricks/Azure SQL). Proficiency in SQL, Python, or other programming languages. Strong understanding of ETL processes, data modelling, and optimisation techniques. A collaborative mindset and the ability to work with cross-functional teams in a fast-paced environment. More ❯

business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM More ❯

OAC). Should be aware about process of creating Semantic data model in FDI. Proven experience in data modeling, data extraction, transformation, and loading (ETL) using Oracle Cloud tools Hands-on experience in creating dashboards, KPIs, custom reports, and visual analytics for Finance, Supply Chain, and HCM modules Strong understanding More ❯

technical teams and summarise complex analyses in business terms Ability to work with shifting deadlines in a fast-paced environment Desirable Qualifications Authoritative in ETL optimisation, designing, coding, and tuning big data processes using Spark Knowledge of big data architecture concepts like Lambda or Kappa Experience with streaming workflows to More ❯

shape something from the ground up — this is for you. What you’ll do: Design and build a cloud-native data warehouse Develop scalable ETL/ELT pipelines and dimensional models (Kimball, Data Vault, etc.) Integrate multiple data sources (cloud & on-prem) Ensure high data quality, performance and reliability Collaborate More ❯

data sets, produce dashboards and drive actionable insights. SQL Development: Write and optimise complex Microsoft SQL Server queries for data extraction, transformation and loading (ETL). Data Governance: Implement master data management and governance policies to maintain data quality, compliance and lineage. Stakeholder Management: Communicate effectively with project managers and More ❯