101 to 125 of 423 Permanent ETL Jobs in the UK

analytic role, with a focus on analysis, reporting and visualisation in Looker Studio + Highly proficient in GCP/GBQ, SQL, data modelling and ETL processes + Experience with Supermetrics, GitHub, DBT, Google Big Query and Shopify + Strong communication and presentation skills to effectively convey insights to both technical more »

and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and more »

and social care data sets (MHSDS, CSDS, CDS, RAP etc.) oExcellent knowledge of concepts of data analysis and visualisation oExcellent knowledge of database management, ETL process and transactional SQL oUnderstanding of information technology infrastructure requirements in relation to data flows. oExcellent time and workload management skills. oAble to manage and more »

company data acquisition strategy allowing for near real time process reporting and full support of contractual reporting to customers. Key Responsibilities: Monitor and maintain ETL processes to ensure the continuation of an accurate data reporting platform for the business. Explore solutions for optimising the performance of the strategic data platform … Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL/ELTL design and development experience. Microsoft DevOps source control software and development lifecycle software Developing and maintaining objects within Data Warehouses/Lakehouses. Experience … Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL/ELTL design and development experience. Microsoft DevOps source control software and development lifecycle software Developing and maintaining objects within Data Warehouses/Lakehouses. Experience more »

a strategic vision for data management information reporting within our organisation. Responsibilities Develop, support, and our business reporting platform, including DataBlend for integrations an ETL, along with gathering requirements for business reporting across a range of systems. Create and maintain reports and dashboards in PowerBI to support business decisions and more »

customer-centric environment In depth expertise in data management, data architecture, and data governance and tools Technical familiarity with data modeling and database technologies (ETL processes, DB staging, data platforms) as well as data tools (Power BI, Databricks, Palantir) (Re)Insurance business understanding (specifically underwriting and claims processes) Excellent verbal more »

Mathematics, or related field 📊 Experience : Proven Data Engineer experience, preferably in finance 💻 Skills : Python, SQL, NoSQL, big data tools Cloud platforms (AWS, Azure, GCP) ETL processes and database design Join us and make a difference more »

engineers. Proficiency in Azure (including services like Azure Data Factory, Azure Databricks, etc.). Strong programming skills in Python . Familiarity with data modeling, ETL processes, and data warehousing. Excellent communication and leadership abilities. Additional Information: This role offers a £100k + performance-based bonus, and comprehensive benefits package. Candidates more »

key stakeholders and other business units to understand business needs and gather requirements. Required Experience Track record of designing and building data infrastructure and ETL pipelines Experience with Azure Platform including Data Factory, Synapse, and Data Lake DB development experience with SQL Software development experience in relevant languages like Python more »

a 50/50 split between BI reporting/analysis and data ingestion, and would suit someone with a couple years experience across Python , ETL, (AWS, Azure or GCP) and any BI tool (PowerBI, Tableau, Qlik, QuickSight, or GoodData - it's more about the transferable skills!). This is an more »

Python and its data processing, analysis, and visualization libraries Experienced with SQL and Timeseries databases Skilled in AWS services: S3, EC2, RDS Knowledgeable in ETL tools like Airflow Proficient in Git, CI/CD, testing tools, and documentation best practices Adheres to quality engineering practices including TDD and BDD Nice more »

/SQL ADF, Databricks and Synapse knowledge required Strong client-facing experience as a data engineer/consultant. Experience designing and developing ELT/ETL processes Experience with Azure and/or SQL Server stack (SSIS, SSRS, SSAS) A willingness to develop Azure Platform/services skills Relevant Microsoft Certifications more »

high availability and disaster recovery scenarios Designing robust implementation, migration, and test plans Database administration Performance optimisation – Queries, indexing, database design, storage Data integration – ETL/ELT Data security Proven troubleshooting skills Scalability Maintenance and operations Licensing What you’ll need Minimum 2 years’ experience with SQL Server more »

Devise practical solutions to business challenges, drawing from industry experience. Spearhead engineering collaboration with actuarial subject matter experts. Guide team members in developing robust ETL processes. Uphold exemplary coding and technical standards. Showcase technical prowess in Python, SQL, and JSON. Implement and oversee a robust CI/CD process. Enhance more »

and Sell additional annual leave Funded Learning and development programmes The Successful Data Engineer will have: Experience in developing and designing data pipelines and ETL processes Previous experience of data warehousing Utilise SAS for data reporting and analysis Skilled in SQL, Python, Git and Databricks In depth experience of reporting more »

design, implement, and utilize various database structures with a focus on cloud-based data services such as Azure, Databricks, and Snowflake ❄️ 🔹 Experience in building ETL/ELT data pipelines and applying DevOps (CI/CD) concepts to test, schedule, and deploy to a production environment 🔄 If you're interested in more »

a genuine impact on a growing business. Requirements: Strong experience with Python Strong SQL Experience working with REST Microservices Strong experience building and managing ETL Pipelines Exposure to modern cloud technologies - (Azure, GCP, AWS etc) Strong formal education - ideally in Computer Science If this sounds of interest, then please do more »

BI. Work closely with stakeholders to understand their needs, objectives, and requirements. Complete end-to-end development of Power BI dashboards which includes the ETL process required to gather and clean data from various data sources, ensuring data integrity and accuracy. Coordinate with other professionals to implement changes and new more »

technical colleagues and providing updates on data activity progress. Proficient in SQL and data modeling. Experience with Python Extensive technical expertise in data warehousing, ETL processes, and BI reporting technologies. Experience in working with and administering modern BI platforms like Looker, Qlik, Domo, or Power BI. Please contact Joely Callaghan more »

III, CCAR, DFAST, and CECL. Technical Skills : Proficiency in programming languages (e.g., Java, JavaScript, SQL), data modeling, and integration technologies (e.g., web services, APIs, ETL). Communication and Collaboration : Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Project more »

and data integrations by monitoring the performance of reporting applications and managing upgrades and developments. Key Skills: Experience working with Power BI. Familiar with ETL tools and principles, including Azure, Synapse, and Fabric environments. Proficient in developing complex BI reports utilising multiple data sources and joins. Comprehension of the necessity more »

Strong stakeholder management & communication skills Experience of working with structured and unstructured datasets Able to design a range of architectural solutions Data models and ETL Data lake and data warehouse end to end architecture Experience within media, publishing, research, or a similar consumer focused industry is highly desirable, but not more »

development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering and ETL processes. Experience with version control systems, particularly Git. Knowledge of telecommunications technologies and industry standards. Qualifications: Bachelor's or Master's degree in Computer Science more »

source control management, issue tracking tools and branching strategies. Track record of bootstrapping projects in new business domains. Understanding and experience of data engineering, ETL and data modelling. Working experience of relational databases, either PostgreSQL, MySQL/MariaDB. Experience and understanding of deploying software in a cloud environment, either GCP more »

proposing solutions for improvements Skills and Experience Excellent knowledge of SQL Knowledge of Python (other languages might be equivalent) Experience in creating and maintaining ETL pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using Apache more »