1 to 25 of 202 ETL Jobs in London

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 »

in Google Cloud Platform (GCP). Specialized expertise in Asset Management data. Proficient in SQL, with a mandatory requirement of DBT proficiency. Proficient in ETL or ELT processes. If interested please come back with an updated CV 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 »

work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic more »

data models. Azure Databricks (preferably), SQL, Python, PySpark, dimensional/star schema data modelling. Understanding of Conceptual, Logical and Physical Data Models Experience in ETL/ELT as well as Entity Relationship (ER) data modelling Good knowledge of SDLC Familiar with Agile/Scrum ways of working If you are more »

Years experience - Min. 12-15 years in IT with 6+ years in Banking and Financial Services domain. At least 3 years experience with ETL and BPM tools. Role details: • Design, develop, and implement Seeburger solutions that are scalable, resilient and performant. • Understand the internals of Seeburger products and solutions. • You … matter expert for Seeburger application development. • You should have hands on experience in mapping, validations, solution design and scripting. • Have experience in other similar ETL/BPM tools apart from Seeburger BIS so that you are able to compare benefits and challenges of the tool. Requirements Min. 12-15 years … in IT with 6+ years in Banking and Financial Services domain. At least 3 years experience with ETL and BPM tools. Hands on experience with Seeburger tools Leading deliveries in highly complex eco system Strong technical knowledge and understanding of Seeburger products, internal working and ETL/BPM tools in more »

their career. Qualifications Essential Criteria: Deep technical expertise in Data Engineering including In-depth knowledge of Data Engineering practices, including Data Storage, Data Visualization, ETL, Data Integration & Migration, Data Warehousing, and Business Intelligence. Familiarity with Data Engineering security, data ethics, and legal/compliance frameworks. Proven experience in driving innovation more »

and its tooling (Snowpark, Snowpipe, etc.). Familiarity with Fivetran, DBT, TensorFlow, PyTorch, and other modern data stack components. Knowledge of data integration and ETL frameworks and tools. Understanding of DataOps, data mining, and data visualisation/BI tools. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. more »

BI knowledge and Power BI Stack Highly skilled report and dashboard development Strong SQL skills (data extraction and enrichment using advanced functions) Knowledge of ETL using a variety of data sources Able to interrogate, manipulate, cleanse and transform data Experience working in an agile manner using Azure Dev Ops Insurance more »

sector. - Strong expertise in data modeling, data governance, and data quality management. - Hands-on experience with data architecture tools and technologies (e.g., SQL, NoSQL, ETL, data warehousing, Azure, Oracle etc). - Excellent communication and stakeholder management skills. - Ability to work onsite in London 5 days per week. **Benefits:** - Competitive daily more »

least one technology (AWS, GCP, Oracle, Azure) Database work with SQL and NoSQL, including MySQL, Postgres, Mongo/DynamoDB Data Processing experience in Snowflake, ETL, Kafka etc. If you can code to a high level with high demand, working alongside other teams to innovate and improve efficiency across various systems more »

and Business teams to enhance our customer-centric culture. Ideal Candidate Profile: Proven track record in big data engineering with a solid understanding of ETL pipelines and data system projections. Proficiency in Python, PySpark, SQL, and familiarity with data science tools like R, ML, AI. Strong foundation in database management more »

designing experiments to merge and interrogate data. Collaborate with engineering team to produce results into user-facing applications. Architect and build data pipelines/ETL processes to support processing of data Work with customers to identify useful data insights that we can show in our platform Essentials: 4+ years spread more »

Location: London – Hybrid Contract: 6 Months Inside IR35 (potential for additional 6 months) Skills: Data Engineer, DBT, Data Build Tool, GCP, Google Cloud Platform, ETL, ELT, SQL, PowerBI, Data Warehouse, Snowflake We are looking for a skilled Data Engineer to work on a dynamic and innovative project within a well … using state-of-the-art tools and technologies, including DBT, GCP, and PowerBI. - Design and implement efficient ELT/ETL processes to extract, transform, and load data from various sources into our data warehouse. - Collaborate with cross-functional teams to understand data requirements and deliver robust solutions to meet business … cloud environment. - Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and Pub/Sub. - Strong understanding of ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) methodologies. - Familiarity with visualisation tools like PowerBI for creating insightful dashboards and reports. - Excellent problem-solving skills and ability to work more »

Salesforce Data Lead Salary up to £70,000 London - Hybrid Salesforce CRM - Data Engineer – Data Migration – Data Analyst – Azure Data Factory – ETL – Data Mapping - Data Modelling - Data Loading We are working with a cutting-edge customer in the Salesforce Partner ecosystem that is looking for a Salesforce Data Lead to … Lead, you will be responsible for: ● Working closely with clients to understand their current Data landscape ● Data mapping & loading (including issue management & reporting) ● Using ETL tools such as Azure Data Factory to build repeatable data jobs, extract data and load into Salesforce ● Collaborating with clients to ensure the source database more »

or data lakes Data-modelling techniques (Relational, 3NF and dimensional modelling, Kimball, DV 2.0 etc.) Strong experience in building robust and scalable ELT/ETL data pipelines Proficient coding in - python, Apache Spark and expert knowledge of SQL and good experience with shell-scripting languages Working knowledge of orchestration tools … e.g. Apache Airflow Experience of ETL/ELT tooling – for example Pentaho, AWS Glue, DBT, airflow etc. GIT and experience in building CI/CD pipelines DBA Experience in AWS cloud environment managing AWS Aurora, and Amazon RDS (MySQL, Postgres, MSSQL) Desired: Experience of financial services or consumer finance IaaC more »

corporate projects to support the management and delivery of ICT workstreams. Senior Application Support Analyst Attributes/Skills: • Proven expertise for SQL Server technologies; ETL, T-SQL Programming, SSIS, SQL jobs and scheduling. • Experience of working as a technical lead on projects. • Expertise in PL SQL Senior Application Support Analyst more »

knowledge of Azure cloud technologies and Terraform IaC Experience with API design, RESTful APIs, and other integration protocols. Knowledge of data integration patterns and ETL processes is important for effectively moving and transforming data between different systems. Senior Integration Engineer - Fully remote - Up to more »

of new technologies Ability to maintain delivery momentum We’d Love If You Also Have These: Highly proficient in SQL Experience using Python based ETL tools such as Databricks Experience using Data Ingestion tools such as FiveTran or Stitch Experience using Business Intelligence tools such as PowerBI, Looker or Tableau more »

metrics. Requirements: 12-15 years of IT experience, including 6+ years in Banking and Financial Services. Minimum 3 years of hands-on experience with ETL and BPM tools. Proficiency in Seeburger tools with a track record of leading projects. Strong technical understanding of Seeburger products and ETL/BPM tools. more »

initiatives. Qualifications: Bachelor's degree or higher in Computer Science, Engineering, or related field. Proven experience in designing, building, and optimizing data pipelines and ETL processes. Proficiency in programming languages such as Python, Java, or Scala. Strong SQL skills and experience working with relational and NoSQL databases. Familiarity with containerization more »

extraction, transformation, and loading of financial data into their analytics and decision-making systems. Responsibilities: Architectural Design: Design and architect scalable, efficient, and reliable ETL pipelines on AWS, ensuring high performance and low latency data processing. AWS Service Utilisation: Utilise various AWS services such as S3, Glue, EMR, Athena, Redshift … Data Processing: Oversee the development and optimisation of data processing workflows, ensuring data integrity, accuracy, and completeness throughout the pipeline. Performance Optimisation: Continuously optimise ETL processes for performance, scalability, and cost-efficiency. Identify bottlenecks and implement solutions to enhance pipeline throughput and reduce processing times. Monitoring and Maintenance: Implement robust … managers, data scientists, software engineers, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Documentation: Create comprehensive documentation for ETL processes, data schemas, and system configurations. Ensure documentation is up-to-date and accessible to relevant stakeholders. Stay Updated: Stay abreast of the latest advancements more »

project technical deliverables. Essential Technical Skills Minimum 2-3 years’ experience in developing & supporting Azure data focused systems Experience in traditional Data Warehouse technologies (ETL, SQL Database, Reporting) Knowledge of Dimension Modelling Strong SQL skills, experience in writing complex SQL queries Knowledge of Azure Data Lake, Data Factory, Databricks and more »

it's a plus: Cutting-Edge Tech: Experience with containerisation, Kubernetes, and observability platforms. Workflow Wizardry: Familiarity with data orchestration tools like Airflow and ETL with Apache Beam. Data Visionary: Knowledge of DataVault (DV2) and data management concepts. Location: Our opportunities are available in London Victoria and Bracknell. Choose the more »

API’s and integration. Experience in multi-cloud Salesforce landscape, Technical consultation, Advisory 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 »