101 to 125 of 216 ETL Jobs in London

client site. Preferred skills: Experience with Azure and Databricks Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools and ETL processes Knowledge of cloud platforms and data architecture Experience working in the Retail Banking sector or financial services would be highly beneficial. This is a more »

from a data perspective and assist with Analytics & Insights initiatives. Familiarity with data governance, metadata management, and data quality improvement. Proficiency in data modeling, ETL processes, tools like SQL, Power BI, and Informatica, and understanding of SDLC methodologies. If you like the sound of this role, apply now more »

financial services. Strong leadership skills with a track record of successfully managing and developing high-performing teams. In-depth knowledge of data engineering concepts, ETL processes, and data warehouse architectures. Expertise in working with big data technologies and cloud platforms (preferably AWS or Azure). Familiarity with asset management industry more »

applications, dashboards, and reports for business end users. Hands on experience of SQL queries including: SSRS and SSIS. Strong experience in data warehousing and ETL processes. Excellent stakeholder management skills. If you are interested in the role please send your CV for consideration. Austin Fraser is committed to being an more »

will have the following skills and experience: Expert with SQL and Azure Data Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a more »

up with your own solution. You will be building dashboards in Python as well as be in charge of Transformation when it comes to ETL pipelines. Experience wise, you’ll need to be a SQL Server expert with strong architecture skills and also strong skills with Python, and DBT. The more »

Your Responsibilities in this Role will be: Taking ownership of designing and developing scalable data models and warehouses Create and maintain database objects, and ETL processes Optimize data ingestion and transformation processes Collaborate with stakeholders Ensure effective database optimization and security implementation Champion data quality and integrity Requirements: SQL Python more »

methodologies Degree educated in mathematics or scientific/engineering discipline. CFA or similar industry qualification Experience with Snowflake, Databricks, SQL, Python and cloud-native ETL/ELT tools. Potential for growth Mentoring Leadership development programs Regular training Career development services Continuing education courses more »

in a STEM subject or equivalent Prior experience as a Data Engineering Manager or Lead Data Engineer Excellent python coding skills Strong experience building ETL/ELT Data pipelines Experience working with cloud providers (Azure preferred but will consider AWS/GCP) Excellent strategical approach Excellent stakeholder management skills Excellent 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 »

teams to understand data requirements and design efficient data pipelines. Develop and maintain scalable data models and databases. Design and implement data integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. … and Python Proficiency in building and optimising data pipelines, architectures, and datasets Familiarity with Medallion architecture and data lakes. Experience with data integration and ETL/ELT processes. Knowledge of DataOps principles and experience with CI/CD tools Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. more »

with stakeholders and product managers to build and recommend appropriate data requirements. Data transformation: Identify data sources and build advanced code to extract, transform and load different sources of data using query languages, programming languages and tools to create the necessary processes to generate the required data products. Data management more »

Familiar with technologies like Scikit-Learn, TensorFlow, Torch, ChatGPT, Llama, LongChain (or equivalent), RAG, Model Security, Jupyter Notebook/Lab, Unit Testing, Integration Testing, ETL/ELT, Python Virtual Environment, Docker/Podman, GitLab, Azure DevOps, Kubernetes, Azure Load Balancer, Communication and Functional KPIs (performance, scalability). Strong understanding of more »

team whilst ensuring the overall performance of the solutions utilising the latest technologies, processes and best practice. You will design and build data pipelines, ETL processes and data workflows that enable data to be transferred seamlessly across a variety of platforms Required Skills: - Effective experience leading, motivating and developing a more »

Engineer with excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational, Graph stores, OLAP, Data Lakes and more »

of Big Data -Excellence experience across Azure -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational, Graph stores, OLAP, Data Lakes and more »

team whilst ensuring the overall performance of the solutions utilising the latest technologies, processes and best practice. You will design and build data pipelines, ETL processes and data workflows that enable data to be transferred seamlessly across a variety of platforms Required Skills: - Demonstrable experience in designing and deploying Azure 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 »

discipline. 5-7 years of hands-on experience in developing advanced Tableau data visualisations, dashboards, and reporting. Proficiency in SQL and Python for custom ETL processes. Strong skills in exploratory data analysis and quantitative analysis techniques. Experience with web analytics tools like Adobe, coupled with familiarity with modern data technologies more »

next hire will collaborate with Quant Researches to translate complex business problems into technical solutions through architecting and deploying AWS-based systems, and constructing ETL pipelines entirely from scratch. Requirements: 5 years+ commercial experience with Object Oriented Python - Numpy, Pandas, Matplotlib Strong knowledge of AWS Knowledge of SQL Ambitious get more »

managing Global teams and comfortable managing different timezones For more information, please send an up-to-date CV to Data Engineering Manager, Data pipelines, ETL, ELT, Modern tech stack, Azure , Python, SQL, Databricks, Data Modelling, Leadership, Strategy, Global 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 »

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 »

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 applications Experience in executing business continuity planning and IT DRP Creating solution and technical application architectures more »

+ benefits Purpose: Design, build, and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise … Pandas and NumPy. SQL: Advanced skills in complex querying and data manipulation. Data Modelling: Proven ability in designing efficient models for scalability and performance. ETL Processes: Deep expertise in developing and optimising ETL pipelines. Version Control: Experience with Git for code collaboration and change tracking. Data Pipeline Tools: Proficiency with more »