1 to 25 of 212 Permanent ETL Jobs in London

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

deadlines. Develop and uphold the best practice standards, design patterns and documentation for data management and data engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows that transfer data smoothly across different systems and platforms. Create system design for integrating and managing data. Ensure that you more »

a strong preference for Snowflake experience, but are open to those from a GCP/AWS/Azure background more generally. Develop high-performance ETL/ELT processes for batch and (ideally) real-time data integration. Ensure optimal extraction, transformation, loading (ETL) processes by implementing quality checks and balances. Collaborate more »

with Multi-dimensional OLAP cubes to store/reference data in semantic data layer. Asset Management data expertise. Strong SQL but MUST have DBT. ETL or ELT The position will require you onsite 3 days per week in London. more »

enhance decision-making processes and optimise the value derived from the data. Unlock the potential of metadata within the data, exploring innovative methods to extract valuable insights. Experience Required: Proficient data engineering experience Experience with Azure Databricks and building ETL pipelines Package: Up to £120,000 Competitive Bonus Market leading more »

one. As part of Shepherd SAP S/4Hana Digital Transformation program, we therefore require someone with high level expertise in D&A management (ETL)/tools and experience in leadership . The successful candidate will be responsible for the Pet Nutrition area and will be working closely with all more »

libraries and frameworks for data processing, data analysis and data visualisation SQL and Timeseries databases cloud AWS services, such as S3, EC2, RDS etc ETL tools, such as Airflow Git, CI/CD, testing tools, supporting documentation and best practices best practice and tooling including TDD, BDD Domain and soft more »

and CloudRun. Collaborate with data scientists and analysts to understand business requirements and translate them into technical solutions. Implement best practices for data modeling, ETL processes, and data governance. Optimize and fine-tune data processes to improve performance and reliability. Stay up-to-date with the latest technologies and trends … proficiency in BigQuery, Python, and CloudRun. Experience with building and optimizing data pipelines for large-scale datasets. Solid understanding of data modeling concepts and ETL processes. Experience with DBT (Data Build Tool). Desirable Skills: Experience with DBT (Data Build Tool). Experience with FastAPI. Familiarity with Python UI framework more »

delivering complex initiatives across the Defence & Security sector. The Role : As a Data Analytics Consultant, you’ll design and build data solutions such as ETL components, data warehouses or data virtualisation implementation. Working closely with client stakeholders to design the source-to-target mappings for large-scale data migrations whilst … the ability to translate business requirements into functional/technical data designs/solutions • Agile and/or DevOps for software development & IT operations • ETL tools such as Informatica, SSIS, Talend or Pentaho • Data governance and data management tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra • MySQL more »

to their diverse clientele. Position Overview: Theseus is representing our client in their search for a Permanent Data Consultant with expertise in data migration, ETL (Extract, Transform, Load), and advanced SQL skills. In this role, you will play a pivotal part in delivering high-quality solutions and driving business success … Key Responsibilities: Lead and execute end-to-end data migration projects, collaborating closely with clients to understand their unique requirements. Utilise your expertise in ETL processes to design and implement efficient data movement solutions. Harness your advanced SQL skills to optimise database performance and ensure data integrity. Provide technical leadership … Bachelor's degree in Computer Science, Information Technology, or related field. Proven track record in successfully delivering data migration projects, with strong proficiency in ETL techniques. Advanced SQL skills, with the ability to write complex queries and optimise database performance. Familiarity with the Microsoft stack, particularly Dynamics 365 CE, is more »

various teams to understand data requirements and implement solutions. > Optimizing data workflows and processes to enhance data quality, reliability, and performance. > Developing and managing ETL processes for data ingestion, processing, and transformation. > Implementing data governance practices to ensure data integrity, security, and compliance. > Monitoring and troubleshooting data infrastructure to address more »

capabilities and support our Finance business partners in their decision-making processes. Key responsibilities include: Design, build, and maintain efficient, reliable data pipelines using ETL and ELT processes. Ensure the seamless flow and availability of high-quality data across the organisation Use Snowflake for data storage, processing, and analytics. Optimise more »

model to meet new business requirements2+ years managing an analytics engineering team using a scrum/agile methodologyExperience working with commercial data warehouses (Redshift), ETL tools (Dbt), data visualization (Python notebook, Thoughtspot, Looker, Tableau, Hex), and Data Dictionary tools (Atlan)Demonstrated experience leading 2 or more multi-department analytics projects more »

of team, including ways of working, engineering principles, data governance and best practice. Become an SME on the design, development, and deployment of data ETL pipelines (using Azure Data Factory and other technologies) to access, combine and transform data from on-prem and cloud-based sources. Ensure that all data more »

Azure. Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics. Strong SQL and Python skills. Experience with data modeling, ETL processes, and data warehousing. Knowledge of big data technologies such as Spark and Hadoop is a plus. Excellent problem-solving skills and attention to detail. more »

and data transformation.Strong experience in managing and leading data engineering teams.Strong proficiency in Scala, Python, SQL, Snowflake and DBT.In-depth understanding of data modelling, ETL processes, and data warehousing concepts.Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and containerisation technologies (e.g., Docker, Kubernetes) is a plus.Excellent problem-solving more »

to work with a team of experts who are passionate about harnessing data to create impactful solutions. Key Responsibilities: Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to ensure efficient data flow and integration across various systems. Utilize Python for data manipulation, transformation, and automation tasks. Collaborate with … a Data Engineer or in a similar role. Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). Extensive experience with ETL tools and processes. Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficient in SQL and experience with relational databases (e.g., PostgreSQL more »

and communicate how our data inputs and outputs affect different groups and identify areas Janes can provide additional value. Requirements Experience architecting and developing ETL pipelines solutions for the ingestion, transformation, and serving of data, as well as solutions for the orchestration of pipeline components (e.g. AWS Step Functions, Apache more »