1 to 25 of 512 ETL Jobs in the UK

cloud transformation programme they are currently undertaking.Key skills required:Technical hands-on demonstrable experience in data analytics and automation.Full BI life-cycle management including ETL, data modelling and data visualising.Good understanding of modern data storage & platform concepts (Data Lakes, Data Warehouses, Azure Synapse).Experience collaborating with diverse and detached teams more »

training and mentoring (others users and/or other automation experts)- Integration Experience (preferable BioSero Green Button Go)- Experience working with vendors- Data Automation (ETL, SQL, No SQL, Graph, etc.) and Coding (Python, C++, C#, .net, API, etc.)- Commonly Automated equipment familiarity (plate readers, plate washers, sealers, desealer, decappers, labelers more »

Modelling, Data Point Modelling etc.), data architecture design patterns and paradigms (e.g. data lakehouse, medallion architecture, data vault, data mesh), data integration and engineering (ETL, ELT, CDC) for enterprise scale analyticsExperience designing data pipelines, data lakes and data warehouses to support data storage (SQL, NoSQL), processing analytics and visualisation solutions more »

an organisation and adheres to the enterprise wide data and technical strategyBuild and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models, Data Dictionary, ETL/ELT definitions and Data Pipeline/Lineage ModelsBe accountable to the client for the rationale of the architecture and detailed solutionDefine the methods of … and OLAP principles and evidence of building such solutionsEvidence of building and managing the evolution of entity relationship models, data dictionaries and ELT/ETL modelsAbility to visualise outputs using leading reporting tools such as Power BI (with custom DAX) and/or TableauHigh proficiency in SQL. Knowledge of SQL more »

products, like server, portal, IIS, web store and services• Experience of setup, configuration of oracle views and the using SQL Plus to query and extract data to meet business needs and functions• Experience of automation and continuous integration with tools such as Azure DevOps Pipelines and PowerShell or Python scripting … and satellite development teams, identifying training requirements, and leading on training of team members, mentoring, or coaching using relevant resources• Experience of carrying out ETL processes via SQL code and/or utilisation of off-the-shelf ETL tools such as Safe Software FME Desktop and Server• Experience of utilising more »

team. Within this role you will be working mainly on end-to-end solutions and development. You are going to be designing and implementing ETL pipelines on various technologies, data quality monitoring, migrating from Oracle to AWS within the next few years. Also, you will be managing the agile delivery … to work for a fast growing company, with fun working environment and the opportunity to progress and get training.Minimum qualifications required: * Strong experience developing ETL pipelines * Strong experience with SQL and Oracle * Experience with cloud migration projects * Excellent communication skillsThis is a fantastic opportunity to work with an established team more »

understanding of system design/architecting – Including data engineering and data management.Promoting engineering standards, best practices and testingExperience in building out APIs, Cloud-based ETL pipelines, customer UIs and end-to-end data processing solutionsStakeholder management skillsTech Stack:JavaScript/TypeScript, React, Node, Python, AWS, GraphQL, BaaS, React Native, GCP more »

frameworks and platforms Agile and Continuous Delivery Continuous integration pipelines Strong Python AWS or Azure with large-scale streaming data (Pulsar, Kafka, Kinesis, etc) ETL management; structured or custom (Airflow, Luigi, etc) Bonus Robust experience managing and developing an engineering team Delta lake or Iceberg Trino or Presto Graphql Good more »

with ability to work in diverse, evolving, and dynamic client environmentsExperience in all aspects of the data lifecycle, for example:Data StrategyData Manipulation and ETL Master Data ManagementData Models and VisualizationA completed degree (bachelors, masters, or PhD)What we offer We offer a competitive remuneration package where you’ll be more »

an organisation and adheres to the enterprise wide data and technical strategyBuild and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models, Data Dictionary, ETL/ELT definitions and Data Pipeline/Lineage ModelsBe accountable to the client for the rationale of the architecture and detailed solutionDefine the methods of … and OLAP principles and evidence of building such solutionsEvidence of building and managing the evolution of entity relationship models, data dictionaries and ELT/ETL modelsAbility to visualise outputs using leading reporting tools such as Power BI (with custom DAX) and/or TableauHigh proficiency in SQL. Knowledge of SQL more »

Engineering, Synapse Data Warehouse, Python, One Lake Working knowledge of Microsoft Azure Cloud Good knowledge of data management principles, including data modelling, data integration, ETL (Extract, Transform, Load) processes, data governance, and data security Experience building data platform components to support a business need Strong attention to detail and analytical more »

simultaneous projectsAbility to multitask across broad range of responsibilities, prioritize and meet deadlinesEven better if you also have…Past experience with integration technologies i.e. ETL, data migration and packaged applicationsExperience with data warehouses and data lakesSalesforce.com database knowledge; Administrator certification a bonusSome knowledge of PythonIf this role and our mission 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 »

strategic direction of the business To support the department with ongoing migration to SAS Viya and look to utilise new technology to drive efficient ETL processes. To constantly review the way data is processed in the business, looking for ways to improve running times and efficiency To be an advocate … Experience of coding in SAS and SAS Macro’s Essential Experience of SAS DI Studio & Enterprise Guide Experience with data modelling techniques Experience with ETL concepts and data warehousing techniques Experience of data quality management concepts Advanced Excel Proactive problem-solving skills Detailed data analysis and presentation skills Excellent communication more »

Governance and Engineering, which has been mainly focused in a highly regulated environment such as Financial Services or related industries. Knowledge in Data Architecture, ETL and big data. Experience with Data Governance frameworks and regulatory requirements within Financial Services. Strong leadership qualities, those who have the ability to drive and more »

Experience working within the insurance industry or Insurance Broking Systems, most ideally ActurisProficient within SQL and data manipulation languagesWorking with data integration tools and ETL tools and processesA strong analytical and critical thinking skill set with a focus on providing practical solutionsExperience working focused on infrastructure, software and application in more »

an organisation and adheres to the enterprise wide data and technical strategyBuild and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models, Data Dictionary, ETL/ELT definitions and Data Pipeline/Lineage ModelsBe accountable to the client for the rationale of the architecture and detailed solutionDefine the methods of … and OLAP principles and evidence of building such solutionsEvidence of building and managing the evolution of entity relationship models, data dictionaries and ELT/ETL modelsAbility to visualise outputs using leading reporting tools such as Power BI (with custom DAX) and/or TableauHigh proficiency in SQL. Knowledge of SQL more »

/or Python , and have experience with BI tools, such as Tableaux or Microsoft BI . You will also be required to work on ETL and Grafana , and you will be getting stuck into all aspects of data and reporting. It's a great opportunity for someone to join a more »

Supporting the business in delivery of its objectives and improvement in financial performance. • Market and peer group analysis. • Understanding of development, data modelling and ETL knowledge that includes Data warehouse Data Modelling, Star and Snowflake schema. • Strong understanding of relevant technologies (Cube Design, SQL/MDX). • Hands on experience more »

office functionality along with middle (IBOR) and back-office systems, services and data domains.Strong environment strategy and architecture design experience.Strong experience in data mining, ETL experience platforms, data visualization/reporting/presentation tools.Exposure to messaging protocols, public/private cloud platforms and EDMsExperience integrating with other industry providers to more »

platform (preferably GCP).BSc/MSc in computer science, maths, physics or STEM subject.Basic knowledge of statistics and machine learning.Experience with Spark, Apache services, ETL tools, Data visualization and dashboards.Experience with streamed data processing, parallel compute, and/or event based architectures.Experience with web-scraping tools and techniques.Data Software Engineer more »

is essential and the role is 2-3 days a week in the Liverpool office - rest remote**** Senior Data Engineer, Data, Data Modelling, Migration, ETL, ETL Tooling (Informatica IICS & IDMC ) SQL, Python or Pyspark, Agile, migrating data from on-prem to cloud. **** Informatica Cloud (IICS & IDMC ) is essential - NOT PowerCenter … data. Essential/core experience required: 10+ years of experience and in-depth knowledge of data delivery and associated architecture principles, data modelling concepts, ETL procedures, and all steps of data production process Prior experience in insurance and/or reinsurance in support of specialty lines is a plus. Extensive … hands on experience in SQL, Python, Data Integration/Ingestion and associated patterns - ETL tooling – Informatica IICS, Warehousing technologies and associated patterns, Cloud platforms – Azure preferred. Experience with on-prem and cloud versions of databases such as Oracle and SQL Server. Professional certifications in public cloud and tooling – Informatica and more »

data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of more »

opportunities. Improving financial processes and providing reporting to key stakeholders. YOUR SKILLS & EXPERIENCE: FinOps certified. Commercial experience using SQL to query data. Experience with ETL pipeline setup. Previous experience managing GCP services including DataFlow, Vertex Ai, Cloud Functions etc. Strong stakeholder management experience and communication skills. THE BENEFITS: The selected more »

impact through innovative solutions. They are seeking a skilled Data Engineer for a 6-month contract. Key Responsibilities: Develop and maintain data pipelines and ETL processes. Handle large datasets using PySpark. Manage data workflows with Azure Synapse Analytics and Azure Data Factory. Collaborate with data scientists to ensure data quality. … measures. Requirements: Experience: 5+ years in data engineering. Programming: Proficiency in Python, SQL. Microsoft Azure: Experience with Azure Synapse Analytics and Azure Data Factory. ETL: Experience in designing and managing ETL processes. PySpark: Strong experience with PySpark. Remote Work: Effective communication and collaboration skills. We look forward to receiving your more »