76 to 100 of 217 ETL Jobs in London

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »

pipelines. As well as being an expert in cloud platform, you’ll have a strong background in Data Ingestion and Integration, designing and implementing ETL pipelines on various technologies, Data Quality monitoring and a rounded understanding of data operations. Aviva believes strongly in experimentation leading to industrialisation and we are more »

efficient data ingestion, processing, storage, and analysis. The ideal candidate will have a strong background in data engineering, including expertise in building and optimizing ETL processes, data warehousing, and working with big data technologies. Main Responsibilities ● Collaborate with business stakeholders to gather and analyse business requirements, translating them into specific … applications. ● Lead end-to-end processes following the CRISP-DM process model to deliver high- quality datasets and their applications. ● Design and implement robust ETL/ELT pipelines from a variety of data sources, including RDBMS, texts, spreadsheets, and API endpoints, into the data warehouse. ● Utilise workflow management tools to … Azure DevOps and Data Factory is a plus. ● Experience with Docker and Kubernetes for creating portable and scalable environments is a plus. ● Experience with ETL tools like Pentaho Data Integration is a plus. Soft skills ● Analytical thinking with a keen attention to detail and a problem-solving mindset. ● Excellent communication more »

pipelines Extensive experience of data mapping and data transformation Experience in building optimised data pipelines Experience of data mapping and data transformation Experience of ETL tools (Azure Data Factory highly desirable) Experience of commercial off the shelf database packages e.g. Microsoft SQL Server Experience of Microsoft Power Platform Working knowledge more »

SKILLS Proficiency in SQL and data querying validation and testing purposes. Hands on experience with Snowflake or Airflow or DBT. Familiarity with data integration, ETL processes, and data governance frameworks. Solid understanding of data structures, relational databases and data modelling concepts. Experience with CDP Customer Data Platform in a data more »

governance concepts, practices, and frameworks. Strong technical skills in data modelling, metadata management, and data lineage. Datawarehouse design and implementation Experience with SQL Server ETL processes A good knowledge of Power BI reporting Desirable Skills Nexthink Software SNOW Software JAMF Software Accreditations Microsoft Data Analyst Microsoft Data Engineer more »

candidates with 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 »

be involved with project migration and business-critical upgrades. You must have experience with Azure Data Factory – Google Cloud – Airflow, along with SQL and ETL experience. This could be a great career move with personal development plans to grow your career. You will require a blend of the following: - Strong more »

of data governance concepts and practices. Expertise in data modeling, metadata management, and data lineage. Strong background in data warehouse design and SQL Server ETL processes. Proficiency in Power BI for reporting. Desirable Skills: Experience with Nexthink, SNOW, and JAMF software. Accreditations: Microsoft Certified Data Analyst Microsoft Certified Data Engineer more »

is an exciting opportunity to contribute to the success of a forward-thinking property management company. Responsibilities: Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory. Optimize data storage and retrieval processes to ensure scalability, reliability, and performance. Collaborate with cross-functional teams to understand data more »

in R, Python, and SQL for data manipulation and analysis. Experience with Enterprise Data Management (EDM) tools and concepts. Strong understanding of data modeling, ETL processes, and data quality management. Familiarity with financial services or asset management industry preferred. Excellent problem-solving skills and attention to detail. Ability to work more »

qualities 5+ years of experience in data engineering, with a passion for sports. Pro-level skills in Python and Bash scripting. Experience dribbling through ETL processes with tools like Prefect or Airflow. Goal-scoring knowledge of containerization and orchestration tools like Docker and Kubernetes. Captain of the cloud with expertise 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 »

in R, Python, and SQL for data manipulation and analysis. Experience with Enterprise Data Management (EDM) tools and concepts. Strong understanding of data modeling, ETL processes, and data quality management. Familiarity with financial services or asset management industry preferred. Excellent problem-solving skills and attention to detail. Ability to work more »

from multiple sources. Advanced skills in Excel as well as any data visualization tools like Amazon Quicksight, Tableau, or similar BI tools. Experienced in ETL, data modeling and big data tools. Preferred qualifications Engineering experience. People management experience, managing business intelligence engineers. Experience in designing and delivering cross functional custom more »

data science, statistical modelling and/or machine learning Knowledge around software concepts Experience building and deploying data pipelines, e.g. in the context of ETL and machine learning applications End to end project delivery Proven ability to handle multiple project commitments simultaneously Ability to define tasks clearly, estimating timings and 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 »

Proficiency in handling and processing large datasets, ensuring data quality and accessibility, including expertise in vectorized datasets. Experience with Data Integration Tools: Proficiency in ETL/ELT tools and practices. Competency in deploying and managing AI solutions on AWS cloud infrastructure. Experience with containerization technologies like Docker. Understanding and application more »

to the Data Scientist. Focus on collecting and preparing data for use by Data Scientists and analysts. Solve challenging data integration problems, utilising optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. Support the design, build, and launch collections of sophisticated data models and visualisations that … with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or Hadoop a plus). Power BI, Dashboard design more »

Collaborate with cross-functional teams to gather and understand data requirements, and design data models and architecture. Develop efficient ETL processes to extract, transform, and load data from various sources into our data warehouse. Design, develop, and maintain interactive web applications using the Dash framework. Write well-documented, clean, and … concepts and hands-on experience with MySQL or similar relational databases. Proficiency in the Dash framework for building interactive web applications. Strong experience with ETL processes and data integration. Proficiency in VBA scripting for Excel or other Microsoft Office applications. Familiarity with data visualization and reporting tools is a plus.If more »

and development, data mining, and segmentation techniques. Extensive familiarity with reporting packages (e.g., Business Objects), databases (e.g., SQL), programming languages (e.g., XML, JavaScript, or ETL frameworks). Knowledge of statistics and proficiency in statistical packages for analysing large datasets (e.g., Excel, SPSS, SAS). Strong analytical skills, capable of collecting more »

of Cloud e.g. Azure and or AWS -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 »