76 to 100 of 226 ETL Jobs in London

be done not even built yet. You’ll be coming in to work closely with data scientists and the wider business to build all ETL solutions behind round the clock trading decisions. This is a great chance to get into working for a buy-side financial firm. You don’t more »

the Defence & Security sector. Required Skills/Experience: British Passport Holder with active DV (Developed Vetting Clearance) End-to-end development with data pipelines, ETL processes, and workflow orchestration - using core concepts that apply across tech stacks. Working with diverse data sources and types - batch, streaming, real-time, and unstructured. more »

with plans to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed PyTorch/Tensorflow, Spark-based distributor libraries more »

of systems such as Microsoft Office 365, Dynamics 365, SAP Success Factors, Treasury Openlink Findur, CMS, BACs Payment Platforms, Microsoft Power BI, Integration/ETL, Azure Active Directory Single Sign On and other bespoke applicationsExperience in executing business continuity planning and IT DRPCreating solution and technical application architectures, IT standards more »

experience is paramount. Build and deploy APIs for interconnected services Design APIs for clients and partners (authentication/versioning/documentation) Design and develop ETL pipelines using Python and AWS services Help prioritise our backlog with a balance between short-term deliverables and longer-term investment in our technology Effectively more »

Experience working with data flows Great understanding of integration and overall system experience Experience with Salesforce Azure/Salesforce/Integration/Azure/ETL/SQL/Azure Data Factory Salary : £65,000 - £75,000 Locations : Hybrid - London Apply now for immediate consideration regarding this excellent opportunity Understanding Recruitment more »

API’s and hands on experience in building custom API’s and integration. A good understanding of enterprise application integration, including SOA, ESB, EAI, ETL environments and an understanding of integration considerations such as process orchestration, customer data integration and master data management. Salesforce deployment and release management framework and more »

Be a thought leader and help deliver the first use cases for genAI. QualificationsWhat you’ll need:• Technical expertise in tools spanning: data warehousing, ETL, internal visualisation and analytics. Good examples are Snowflake, GCP, Azure Analytics, Sagemaker, Databricks, Tableau, PowerBI, Looker, Quicksight, Airflow, astronomer.io, Alteryx, Collibra.• Hands on experience and … a detailed and deep understanding of the workflow and approaches of:o BI analyst for visualisation, general analytics and operational processeso Data engineer for ETL and general data management\modellingo Data scientist\modelling workflow for machine learningo Data governance controls • Obvious experience working with functions in fintech or financial services more »

responsibilities The Principal Data Engineer is a new role that will support the newly created Product Data Domain teams. You will help to build ETL pipelines to ingest and transform data to develop the data products that will power key value use cases across the BBC. You will work in … following skills. Technical skills • Extensive (5+ years) experience in a data engineering or analytics engineering role, preferably in digital products. • Extensive experience in building ETL pipelines, ingesting data from a diverse set of data sources (including event streams, various forms of batch processing) • Excellent SQL and python skills. • Extensive use more »

expertise of working extensively in the database arena.You must have solid expertise in Data Warehouse development working with data warehouse like Oracle, SQL, Teradata, ETL like Abinitio etc….The position is with an investment bank based in Canary Wharf.Salary will be in the range 75K - 85K plus benefits.Please do send more »

scientists.Collaborate with business leaders to identify key performance indicators (KPIs) and create dashboards and visualisations usingPower BI.Utilise SQL for data extraction, transformation, and loading (ETL) processes.Drive advanced analytics initiatives, including predictive modelling and machine learning, usingPython.Ensure data quality, accuracy, and consistency across all reporting and analytics efforts.Provide actionable insights to … Data Science, Business Analytics).Proven experience (5 years) in business intelligence, data analytics, or related roles.Strong proficiency inSQL,Power BI, andPython.Experience with data modelling, ETL processes, and data visualisation.Excellent leadership and communication skills.Real estate industry knowledge is a plus. If you're interested in this role, click 'apply now' to more »

We are seeking a qualified Data Engineer to join our team, where your responsibilities will include: Designing, optimizing, and maintaining scalable data pipelines and ETL processes using Spark, ensuring streamlined data processing and integration. Collaborating cross-functionally to translate complex data requirements into actionable technical solutions that drive business objectives. … in Apache Spark and cloud-based technologies, particularly Microsoft Azure and Databricks. Strong programming skills, with a focus on Python, along with proficiency in ETL frameworks and data integration tools. In-depth knowledge of data governance and modeling principles, with a keen eye for data quality and accuracy. Versatility across more »

data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a … scripting experience (Python) to process data for modelingPreferred qualification - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is an equal opportunities employer. We believe passionately that employing a diverse more »

have strong technical skills including some or all of the following:CRM Analytics and Einstein Discovery experience.Salesforce CRM Analytics and Einstein Discovery Certification.Understanding of ETL processes for data preparation and management and a strong understanding of data concepts and modelling.Strong consulting and/or CRM implementation experience.Experience of leading a … Metadata APIs.Experience in other comparable business intelligence tools such as Tableau, Microsoft Power BI or Qlikview.Development experience in Apex, VisualForce and Lightning Components.Experience with ETL tools such as Mulesoft, Alteryx, Informatica Cloud and Talend.Experience with development life-cycle, code management strategies, advanced technical concepts, architecture and security approaches and integration more »

only applicable within the UK - the role will require occasional travel to London). Please see the desired skill-set below: Ability to develop ETL solutions to surface data in SAS Troubleshooting SAS on Cloud functional and data ingestion problems. SAS 9.4 + SAS VIYA We have a huge team more »

Strong full lifecycle product management experience, with B2B SAAS or enterprise software Experience delivering technical products, ideally working with integrations, API’s etc. (eg ETL, Data Flow) Any experience with a hyper growth startup is desirable Any experience of the following products is desirable - Tenable, Rapid7, Veracode, CrowdStrike, SailPoint 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 »

and tools, integrating it into a central data lake or warehouse. Data Pipeline Development: Design and construct data pipelines to automate data flow, involving ETL processes as needed. Modern tech stack - Python, AWS, Airflow and DBT Must haves: A team player, happy to work with several teams, this is key … as you will be reporting directly to the CTO. 2 + years of programming language experience (e.g. Python, SQL) Data modeling/ETL tool experience A startup/greenfield mentality What's in it for you?: Hybrid working Private healthcare and wellness support Employee Discount: 75% discount on treatments Shopping more »

bank in London • Any other responsibilities/tasks as assigned by the Head of Compliance from time to timeExperienced in SAS modelling platforms. • Basic ETL programming skills (SQL, SAS, etc) a must. • 3 years of experience of relevant banking/compliance in established bank/financial institutions.Technical/Functional skills … Knowledge of risk best practices and Models infrastructure coupled with working with data models. • Experienced in SAS modelling platforms. • Basic ETL programming skills (SQL, SAS, etc) a must. • The required understanding of the business/business units. Personal skills (Soft Competencies [Core/Leadership]) • Good judgment in enabling the provision more »

experience. Within Azure, should be familiar with performance tuning, T-SQL, maintenance, and replication. Experience with multiple database platforms including Sybase ASE. Experience with ETL development within Azure as well as knowledge of Informatica. Should be comfortable with Linux and Shell Scripting. Some experience with Terraform, Powershell and Gitlab. Bachelor more »

entry definition Skilled in creating and managing large and complex data models Experience of using SQL to query relational databases Expertise in working with ETL tools such as Alteryx Flexibility to travel and to meet with key stakeholders Keen interest in own continuing professional development Don't meet every single more »

practices. • Extensive experience with SQL databases, including complex queries and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills and more »

Data Lake Storage, Azure Databricks, and Azure SQL Database. Proficiency in SQL and programming languages like Python or Scala. Experience with data modeling and ETL/ELT concepts. Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. Data Engineer – London more »

open-source data engineering and scientific Python toolset. Our tech stack includes Airbyte for data ingestion, Prefect for pipeline orchestration, AWS Glue for managed ETL, along with Pandas and PySpark for pipeline logic implementation. We utilize Delta Lake and PostgreSQL for data storage, emphasizing the importance of data integrity and more »

operating Operational Datastore/Data Lake/Data Warehouse platforms at scale with high-availabilityData integration: Familiarity with data integration tools and techniques, including ETL (Extract, Transform, Load) processes and real-time data streaming (e.g., using Apache Kafka, Kinesis, or Pub/Sub), exposing data sets via GraphQLCloud platforms expertise more »