1 to 25 of 35 DemandTrendPermanent ETL Jobs in the South West

Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in cloud platforms such as AWS, Azure, or Goo g le Cloud and cloud-based More ❯

skills, Experience in risk management (Market, Credit, Regulatory). Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and More ❯

SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources More ❯

a positive atmosphere, and championing team spirit Master of Science Degree in software engineering or a related field Proficiency in English spoken and written Nice-to-Haves: Experience with ETL/ELT pipeline design and tools (e.g., Apache Airflow). Familiarity with Change Data Capture (CDC) solutions. Knowledge of database services on other cloud platforms (e.g., Azure SQL Database, Google More ❯

communicator, able to translate complex data concepts to cross-functional teams Bonus points for experience with: DevOps tools like Docker, Kubernetes, CI/CD Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools to accelerate data More ❯

Infor Syteline). Solid understanding of ERP (Enterprise Resource Planning) concepts and functionalities. Strong understanding of business processes in finance, supply chain, or manufacturing domains. Experience with data migration, ETL processes, and API integrations. Experience with SQL, scripting languages, and data integration tools. Excellent analytical and problem-solving skills, with an eye for detail. Exceptional communication and interpersonal abilities, capable More ❯

environment. The tech stack includes Microsoft Fabric, Power BI and SQL Server Reporting Services. To be considered, you'll need to have experience with Microsoft SQL Server, Data Integration, ETL Pipelines, Power BI and ideally Azure Synapse or Fabric experience. Ideally, you'll have 2 - 3 years of experience in a similar hands-on engineering role. In return, you'll More ❯

Understanding and experience of geoservers, spatial projections, raster and vector manipulation within python and usage of GDAL Experience with AWS and data management tools, including data lake, data warehouse ETL, SQL based storage and PostgreSQL. Ability to design and implement data pipelines and data-related solutions, ideally within a cloud environment Strong ability to document development including database design, application More ❯

Proven track record in backend development (e.g., Node.js, Python, Java). Strong knowledge of API design, integration methods (REST, Webhooks, GraphQL), and authentication protocols (OAuth2, JWT). Experience with ETL/ELT tools and frameworks. Solid database skills (SQL and/or NoSQL). AWS cloud platform experience, particularly in integration services. Strong debugging, problem-solving, and communication abilities. Comfortable More ❯

as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions of all sizes Strong presentation skills for engaging senior stakeholders Ability to handle high More ❯

as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions of all sizes Strong presentation skills for engaging senior stakeholders Ability to handle high More ❯

databases and a broad understand across data, including storage, access and governance. You will probably have experience across the following: SQL database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a More ❯

someone who brings deep technical expertise, leadership, and a commercial mindset. You might be a great fit if you have: Strong experience in data warehousing (ideally Snowflake), SQL, and ETL tools (ideally Matillion) Experience designing data models and leading technical delivery Excellent communication and project management skills A commercial mindset and ability to align data work with business goals This More ❯

Cloud Platform for Big Data projects, including BigQuery, DataFlow (Apache Beam), Cloud Run, Cloud Functions, Cloud Workflows, and Cloud Composer. Strong SQL development skills. Proven expertise in data modeling, ETL development, and data warehousing. Knowledge of data management fundamentals and storage principles. Familiarity with statistical models or data mining algorithms and their application to business problems. What's in it More ❯

Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure SQL development skills Experience using Dataform or dbt Demonstrated strength in data modelling, ETL development, and data warehousing Knowledge of data management fundamentals and data storage principles Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems What More ❯

a data warehouse. You will probably have experience across the following: Designing and building BI solutions Writing and optimizing SQL queries Data warehousing A good understanding of data security ETL processes Experience with Azure and related tools (Fabric, Data Lake, Data Factory etc.) would be beneficial but not essential. The company operate a hybrid working policy and you would normally More ❯

a data warehouse. You will probably have experience across the following: Designing and building BI solutions Writing and optimizing SQL queries Data warehousing A good understanding of data security ETL processes Experience with Azure and related tools (Fabric, Data Lake, Data Factory etc.) would be beneficial but not essential. The company operate a hybrid working policy and you would normally More ❯

a data warehouse. You will probably have experience across the following: Designing and building BI solutions Writing and optimizing SQL queries Data warehousing A good understanding of data security ETL processes Experience with Azure and related tools (Fabric, Data Lake, Data Factory etc.) would be beneficial but not essential. The company operate a hybrid working policy and you would normally More ❯

Excellent time keeping and task prioritisation skills An ability to provide clear and concise updates An ability to convey technical concepts to all levels of audience Data engineering skills - ETL/ELT Technical implementation skills - application of industry best practices & designs patterns Technical advisory skills - experience in researching technological products/services with the intent to provide advice on system More ❯

quality Maintain and optimise large-scale data collection processes Support the deployment of machine learning models into production To be successful in the role you will have: Creating scalable ETL jobs using Scala and Spark Strong understanding of data structures, algorithms, and distributed systems Experience working with orchestration tools such as Airflow Familiarity with cloud technologies (AWS or GCP) Hands More ❯

quality Maintain and optimise large-scale data collection processes Support the deployment of machine learning models into production To be successful in the role you will have: Creating scalable ETL jobs using Scala and Spark Strong understanding of data structures, algorithms, and distributed systems Experience working with orchestration tools such as Airflow Familiarity with cloud technologies (AWS or GCP) Hands More ❯

dashboards etc with Power BI. Integrate data from various applications such as ERP, IoT devices and external sources Implement data validation, cleansing and quality assurance protocols Support existing Jitterbit ETL/legacy applications while Microsoft fabric is implemented Ensure the correct data enables the business to make better data led decisions Help transition from legacy ETL to Microsoft Fabric. Have … hear from you if you have: Data engineering expertise ideally in a manufacturing or production environment Advanced SQL and data modelling skills Ideally Microsoft Fabric expertise OR strong Jitterbit ETL/SQL Server to learn Microsoft Fabric Track record of understanding data requirements with the business, Identifying the data then, designing and maintaining data pipelines Excellent communication skills to liaise More ❯

ll design, develop, and maintain business intelligence and analytics solutions that empower customers to make smarter decisions. You'll work across the full data lifecycle-from data warehousing and ETL to reporting and visualisation-using tools like SQL Server, T-SQL, SSIS, and Power BI . Business Intelligence SQL Developer What You'll Do Design and deploy BI solutions and … data models Write and optimise complex SQL queries and stored procedures Develop and maintain ETL processes and OLAP cubes Ensure data accuracy, integrity, and security Collaborate with cross-functional teams to deliver insights and reports Stay current with BI trends and technologies Business Intelligence SQL Developer What We're Looking For Proven experience as a BI Developer, Data Engineer, or … SQL Developer Strong knowledge of data warehouse design , dimensional modelling , and ETL frameworks Advanced T-SQL skills and experience with SSIS Familiarity with BI tools such as Power BI or SAP Business Objects Understanding of data security and multi-tenancy Excellent communication and problem-solving skills A degree in Computer Science, Engineering, or a related field Business Intelligence SQL Developer More ❯

aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self-starter with initiative and enthusiasm Minimum Criteria: 5+ years of experience in ETL/MI data testing Advanced SQL skills for reconciling source/target data and validating business rules Proficiency with querying tools such as SQL Developer and PostgreSQL/DBeaver Experience … with ETL tools (e.g., ODI ) and data replication tools ( Oracle GoldenGate , AWS DMS) Python scripting and experience with CI/CD processes are desirable Familiarity with Datawarehouse test automation implementation Apply today and be part of our mission to deliver quality software faster and smarter. More ❯

their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data … in data migration, integration, and cloud-based data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for More ❯