1 to 25 of 234 ETL Jobs in London

scalable and reliable data pipelines and platforms using various technology solutions. Extract, transform, and load (ETL) data from various sources and formats. Build and maintain ETL pipelines Ensure data quality, integrity, and security by applying data governance and validation rules. Optimise data performance and efficiency by tuning, partitioning, indexing, and … Hands-on experience in designing, planning, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments. Skilled in data integration, ETL processes, and ensuring data quality. Capable of turning data into insights using visualisation and reporting tools. Able to effectively document business use-cases, data sources more »

in a cloud environment (Azure, AWS, GCP) Experience in at least one of: Python (or similar), SQL, PySpark Experience in building data pipeline/ETL/ELT solutions Ability and strong desire to research and learn new technologies and languages Interest in the contemporary data engineering and analytics landscape, the more »

Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. 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 »

to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, and load data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »

that provide actionable insights for various business units. Collaborate with stakeholders to gather requirements and translate them into effective data visualizations. Utilize SQL to extract, transform, and load (ETL) data from various sources into Power BI and Azure Synapse. Develop and maintain data models and datasets within Power BI and … years of experience in data analytics and business intelligence, with a strong focus on Power BI. Proficiency in SQL for data extraction, transformation, and loading (ETL). Experience with Azure Synapse Analytics or similar cloud-based data warehousing solutions. Strong understanding of data modeling, data visualization, and dashboard design principles. more »

. Knowledge of SQL and experience with relational databases, as well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding of its ETL frameworks. Desired : experience with data pipeline and workflow management (Airflow, Composer). Desired : Familiarity with machine learning algorithms and data science principles is a plus. more »

Engineer, develop, and optimize code to ensure business processes support organizational growth. Essential Requirements: Proven track record in designing and building data infrastructure and ETL pipelines. Proficiency in Azure Platform, including Data Lake, Data Factory, Synapse, Logic Apps, and Function Apps etc. SQL Server, including Store Procedures, T-SQL, or 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 »

the infrastructure that supports their cutting-edge trading strategies. Key Responsibilities: Design and manage scalable data pipelines. Integrate data from various sources and develop ETL processes. Optimise database systems for high performance. Work with data scientists and analysts to meet data needs. Automate data processing tasks to enhance efficiency. Implement more »

seeking Senior Data Engineers to contribute to innovative data projects within a leading financial institution. Key Responsibilities: Data Engineering: Design and implement data models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and more »

management of an Azure cloud-based data & analytics platform. Comprehensive experience in the complete data pipeline development process, encompassing data warehousing, data analytics, and ETL processes. Profound understanding of best practices in data governance, privacy, and quality. Exceptional skills in communication, leadership, and team management. Capability to handle multiple tasks 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 »

with real-time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and data modeling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A 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 »

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 »

analyst, some of the data tasks you will work on are: Participating in data discovery workshops to develop proprietary supply chain-specific datasets Writing ETL code in Python Updating spreadsheets in Excel Connecting different services like ChatGPT and Salesforce on Google Cloud Performing data analyses in SQL (BigQuery) Building dashboards 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 »

related field. experience (5 years) as a Data Architect with significant exposure to SAP data architecture and solutions. in designing and implementing data models, ETL processes, and data integration within SAP environments. in SAP data management tools such as SAP HANA, SAP Data Services, SAP BW/4HANA, or related 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 »

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 »

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 »

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 »

marketing business partners, teammates and leadership; implementing machine learning algorithms, working end-to-end on machine learning pipelines in production; data engineering working on ETL pipelines, crawling APIs and websites, and automating outputs (report generation, workflow automation, Google Sheet interaction); setting and meeting detailed timelines and expectations while executing projects more »

and enhancement of an in-house tool, which is used for monitoring and generating reports on trading activities. You should have strong proficiency in ETL processes and tools, alongside exceptional Python knowledge. In addition, you should have excellent SQL skills for querying and analyzing large datasets, and have experience with more »