1 to 25 of 554 ETL Jobs in London

data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL);Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS);Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI;Collect … Data Engineering;Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs;Solid ETL development, reporting knowledge based off intricate understanding of business process and measures;Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred ...

such as Azure Data Lake, Azure Data Factory, Logic Apps, Azure Data Bricks, Azure functions, Azure Synapse. Must have previously worked in Data Warehouse ETL & BI platforms, with a good understanding of DW strategy, architecture, data modelling, schemas following Kimball Methodology. Good understanding on Master Data Services, DQ profiling, cleansing ...

Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/ELT practices. Proven ability to tune and optimize solutions handling large data volumes. Cloud & DevOps Experience with cloud-native data platforms, preferably on Microsoft ...

working in pathology or healthcare Skills/abilities Essential Microsoft Excel and Microsoft Access (Intermediate) T-SQL (Structured Query Language) at a level to extract data from large complex databases Managing an SQL Server 2019 instance and associated Server Good analytical skills for spotting or anticipating weaknesses in processes (manual … reporting requirements, NHS data standards and definitions Developing SSRS Reports Experience Essential Good understanding of technology and systems applications Metadata management ETL (Extract, Transform, and Load) knowledge OLAP Principles Desirable Demonstrable experience at a senior level in healthcare informatics management role. Disclosure and Barring Service Check This post is subject ...

and maintain data warehouse environments, such as:Azure Synapse AnalyticsSQL Server/Azure SQL DBSnowflake or BigQuery (optional, if used in hybrid environments)Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCAInvestigate job failures and performance issues across data pipelines, ML endpoints, and dashboards.Perform ...

Security Clearance: Active SC Clearance is essential Key Responsibilities Design, build and maintain scalable data pipelines within Microsoft Azure. Develop and optimise data models, ETL/ELT processes and reporting solutions. Work with stakeholders to gather requirements and translate business needs into data-driven solutions. Analyse complex datasets and provide ...

Bachelor’s or master’s degree in computer science, Engineering, or a related technical field 5+ Years of hands-on experience in data engineering, ETL/ELT development, cloud-based data solutions, or data products for analytics, automation, or machine learning Deep expertise in AWS services, including S3, Lambda, Glue ...

initiatives, and flag risks or dependenciesTECHNICAL SKILLS & EXPERTISEStrong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelinesDashboard development: Power BI (preferred), Tableau, Grafana, or equivalent BI tools — building interactive dashboards with drill-down, filtering, and alertingExperience with on-premises ...

practical experience working with structured and semi-structured data. · Good understanding of data engineering or analytics engineering concepts, including data modelling, pipelines, ELT/ETL, data quality and analytical data products. · Experience using Python, PySpark, notebooks or equivalent platform tooling for data preparation, analysis, testing or automation. · Understanding of semantic ...

data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise ...

into data requirements and to challenge and shape client thinking on data strategy and readiness.Strong understanding of the data lifecycle: sourcing, cleansing, transformation, warehousing, ETL/ELT, modelling and visualisation.Understanding of key finance processes and data objects (GL, AP, AR) and how they inform analytics and reporting.Excellent communication and presentation ...

into data requirements and to challenge and shape client thinking on data strategy and readiness.Strong understanding of the data lifecycle: sourcing, cleansing, transformation, warehousing, ETL/ELT, modelling and visualisation.Understanding of key finance processes and data objects (GL, AP, AR) and how they inform analytics and reporting.Excellent communication and presentation ...

data requirements and to challenge and shape client thinking on data strategy and readiness. Strong understanding of the data lifecycle: sourcing, cleansing, transformation, warehousing, ETL/ELT, modelling and visualisation. Understanding of key finance processes and data objects (GL, AP, AR) and how they inform analytics and reporting. Excellent communication ...

cloud architectures, (e.g. a cloud data warehouse, data lake or data platform) to enable digital transformation Working with clients on data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models Performing maturity assessments across clients’ data capabilities and recommending ...

Required: 5+ Years SC Clearance SC Clearance: Not Required Key Responsibilities Design, develop, and maintain enterprise-scale data pipelines using Azure Databricks. Build robust ETL/ELT solutions using Azure Data Factory and Microsoft Fabric. Develop high-performance data processing solutions using Python, PySpark, and SQL. Implement Delta Lake and ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

including query optimisation and data modelling. Hands-on experience with Databricks. Proven track record in designing and building enterprise data platforms. Experience in developing ETL/ELT pipelines and data integration solutions. Strong understanding of data lakes and lakehouse architectures. Experience working with large-scale datasets and modern data engineering ...

strategies.Data Platforms:- Hands-on experience with data lakes and lakehouse architectures.- Familiarity with big data processing frameworks like Spark.Data Engineering Knowledge:- Proven experience building ETL/ELT pipelines and using orchestration tools (Airflow, Azure Data Factory).- Understanding of JSON, XML, APIs, and data ingestion technologies.Cloud Experience:- Familiarity with cloud ...

data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise ...

data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise ...

data manipulation and scripting.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop). Experience with ETL/ELT, data warehousing, and automated workflows for moving and processing data.Data Governance: Strong understanding and practical experience with data governance principles, policies, security, and privacy ...

data architectural decisions, and high-quality "data mart" objects across functions like product, finance, or strategy.Pipeline Specialist: You possess extensive experience in engineering robust ETL/ELT processes and data pipelines, with a focus on curating, transforming, and publishing data.Data Governance Focused: You have solid experience in implementing data models ...