26 to 50 of 289 ETL Jobs in the UK excluding London

with discussions. Essential Skills & Experience: Strong experience with Power BI (Desktop & Service). Proficiency in DAX, Power Query (M), and data modelling. Understanding of ETL processes and data warehousing concepts. Ability to translate complex data into clear visual insights. Experience engaging with non-technical stakeholders. Comprehensive analytical skills to comprehend ...

Proven track record of DBA responsibilities, maintaining database efficiency, and supporting production data environments. Deep understanding of designing, building, and maintaining robust data pipelines, ETL/ELT processes, and data warehousing concepts (e.g., star schemas). Strong knowledge of data quality principles, validation, governance, and data integrity controls. Excellent communication ...

Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search) A little bit more about us... We believe in building a diverse and inclusive culture and ...

requirements and managing advanced analytics and ML models for structured data. Proficient in Power BI, SQL, Python, Azure, Databricks, and Dataiku, with hands‐on ETL/ELT experience. Strong understanding of ML lifecycle, validation, governance, data quality, and GenAI awareness. Excellent leadership, communication, and storytelling skills to influence senior stakeholders ...

tools to help operational efficiency such as Power Automate, Power Pivot, MS Teams/SharePoint/One Drive Understanding of database management systems and ETL (Extract, transform, load) framework Understanding of MS Azure data lake design (e.g. dimensional modelling) and data mining Business Skills Proven abilities to take initiative and ...

data analysis, statistical modelling, and predictive analytics. Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions. Strong understanding of ETL processes, data integration, and data quality management. Experience working with large, complex structured and unstructured datasets. Knowledge of statistical analysis techniques and their application to real-world ...

migration to Microsoft Fabric. Required Skills Experience with Apache Airflow. Strong Azure SQL skills. Power BI development and data modelling experience. Good understanding of ETL/ELT processes and data warehousing concepts. Strong communication skills and the ability to work with both technical and non-technical stakeholders. Adaptable, hands ...

governance, and security standards are upheld across all solutions; and troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills: Strong expertise in ETL tools (Pentaho, Talend); experience with data virtualization using Denodo; proficiency in SAS for data analytics and reporting; solid understanding of Agile and Scrum frameworks; hands ...

bottlenecks. Key skill and experience SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding ...

exposing data. Proven track record with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Experience in, or knowledge of, DevSecOps Tooling and Processes. Self-starter with the ability ...

pipeline and dataset is discoverable, addressable, and secure by design. Data capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced ...

which purpose. Microsoft certified architect Databricks Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage ...

organise, analyse, and interpret large and complex data sets. Strong proficiency in SQL, Python, R or SAS, statistical methods, data modelling, data warehousing and ETL processes. Contribute to the development of data-driven strategies and initiatives to support company growth and success. If you like the sound of the role ...

analytics practices. Who you are Strong experience leading data engineering and analytics delivery in complex or operational environments. Deep understanding of modern data architectures, ETL/ELT pipelines, orchestration frameworks, cloud data platforms and APIs. Experience delivering high‐quality dashboards, analytics and operational reporting products. Ability to manage engineering backlogs ...

area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue ...

Designing and implementing data transformation processes using Databricks, supporting Bronze, Silver, and Gold data layers in line with Medallion Architecture best practices. Building scalable ETL/ELT solutions to support enterprise reporting, analytics, and regulatory requirements. Creating and optimising data models and datasets for consumption by Power BI and other ...

Looking For: Languages: Strong proficiency in SQL and Python . Data Platforms: Hands-on experience with Databricks and Azure Data Lake . ETL: Proven ability to build efficient pipelines (ADF, SSIS, APIs). Desirable: PySpark, Dimensional Modelling, DAX/SSAS, or an interest in AI/ML applications. Interested ...

also mentor two junior Data Engineers while owning day-to-day technical delivery. Key Responsibilities Design, build and optimise scalable data pipelines and ETL processes Integrate internal and external data sources using APIs and scripting Build and enhance cloud-based data infrastructure using AWS/GCP and SQL Drive automation ...

Factory Working knowledge of Databricks Working knowledge of AWS environments (Redshift, RDS) Solid grounding in database technologies, API architecture, data warehousing principles, and standard ETL/ELT patterns UK-based with full right to work — essential How to Apply If you meet the above criteria and are available ...

practices Skills & Experience * 3+ years' commercial experience in Data Engineering * Strong Java or Python development skills * Experience with Kafka, Flink or Spark * Experience building ETL/ELT or streaming data pipelines * Knowledge of AWS (Azure or GCP also considered) * Experience with Docker, Kubernetes and CI/CD tools * Familiarity with ...

including database design and optimisation. Strong knowledge of Power BI, with a demonstrated ability to create impactful dashboards and reports. Experience with data modelling, ETL processes, and data warehousing concepts. Excellent analytical skills, with the ability to interpret complex data sets and present insights clearly. Good communication skills, capable ...

business teams to deliver reliable data solutions. Participating in code reviews and continuous improvement initiatives. What We're Looking For Experience in data engineering, ETL development or data platform delivery. Strong programming skills in Java or Python. Exposure to modern data technologies such as Kafka, Spark or Flink. Experience working ...

and Python development skills. Experience managing and developing SQL data warehouses. Strong experience with Microsoft SQL Server, SSIS and SSRS. Experience building production-grade ETL and data pipelines. Experience working with financial data and supporting reporting or planning functions. Excellent communication skills with the ability to work closely with both ...

Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation frameworks. Programming proficiency in Python, Scala, or Java for data processing. Deep understanding of data warehousing concepts and best ...

machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud environments Knowledge of data engineering principles including ETL processes, data pipelines and automated workflows Experience working with structured and unstructured data Understanding of MLOps tooling and best practices Knowledge of data governance, security ...