1 to 25 of 72 Permanent ETL Jobs in the North of England

stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also ...

event time, state, backpressure).\ N\n\nUnderstanding of software engineering best practices: testing, design patterns, CI/CD, Git.\ N\n\nExperience building ETL/ELT or streaming data pipelines.\ N\n\nExposureto microservices and distributed system concepts.\ N\n\nExperience working with cloud platforms, ideally AWS, but Azure ...

data is accessible, reliable and delivered efficiently across the organisation. Key Responsibilities Design, build and maintain scalable and reliable data pipelines. Develop and support ETL/ELT processes for ingesting and transforming data from multiple sources. Enhance and maintain cloud-based data infrastructure within AWS. Monitor, troubleshoot and optimise data ...

and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‐integration technologies. ·Understanding of data modelling concepts. ·Familiarity with legal industry data and metrics. Equal Opportunities Our approach to our people ...

What you will be doing Owning BI infrastructure end-to-end, from initial brief and requirement gathering through to data pipeline development across APIs, ETL, ELT and SQL Working alongside Data Analyst colleagues to help them generate impactful business insights and analysis Taking day-to-day responsibility for the quality ...

development skills Ability to design and build modular and reusable data components Understanding of data modelling, schema design and performance optimisation Familiarity with ETL/ELT concepts and data pipeline development Experience using Git and version control practices Exposure to Azure data tools such as Azure SQL, Data Factory ...

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 ...

and dataset is discoverable, addressable, and secure by design. \n 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 ...

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 ...

pipeline and dataset is discoverable, addressable, and secure by design.\ NData 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 ...

nProven track record with data governance, quality, lineage, and security practices.\n \n \nExperience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub).\n \n \nExperience in, or knowledge of, DevSecOps Tooling and Processes.\n \n \nSelf-starter ...

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 ...

Analysis Process mapping Stakeholder management & engagement Workshop facilitation Translating business requirements into technical requirements Data Platform Knowledge Exposure to Snowflake Cloud data warehouse concepts ETL/ELT processes Highly Desirable Skills Alteryx experience ERP experience (Epicor, SAP, Oracle, Dynamics, etc.) API integration knowledge AI governance and risk awareness Experience leading ...

Python development experience, including technologies such as PySpark, Pandas and PyArrow. Expertise in distributed data processing frameworks, particularly Apache Spark. Experience building and maintaining ETL pipelines using technologies such as Apache Airflow, AWS Step Functions or Apache NiFi. Cloud platform experience across AWS, Azure and/or GCP. Knowledge ...

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 ...

data engineering community What you’ll bring Essential Deep expertise in Databricks (Spark/PySpark, Delta Lake, Unity Catalog, Workflows) Strong experience building ETL/ELT pipelines , both batch and streaming Advanced Python and SQL skills Hands-on experience with cloud platforms (Azure, AWS or GCP) Solid understanding of data ...

service level agreements\ NExperience coordinating cross-functional stakeholders and contractor resources to maintain operational continuity and quality output\ NKnowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred)\ NStrong analytical and problem-solving skills with the ability to communicate clearly ...

service level agreements Experience coordinating cross-functional stakeholders and contractor resources to maintain operational continuity and quality output Knowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred) Strong analytical and problem-solving skills with the ability to communicate clearly ...

within your team Required Experience: Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services ...

operational performance. Key Experience: Hands-on experience with Power BI an Dashboard development. Frequent exposure to data modelling techniques. Understanding of data pipeline and ETL development. Strong SQL experience. Experience working with large datasets and data sources. Desirable: Microsoft Fabric experience or exposure. Understanding of Python or alternative coding languages. ...

and business stakeholders, you'll be responsible for the data development that powers reporting, analytics and business intelligence capabilities. Key Experience Strong understanding of ETL/ELT pipeline development. Experience building and maintaining data pipelines in cloud environments. Data modelling experience - Dimensional and 3NF concepts. Data warehousing, lakehouse and lake ...

strong data governance, including lineage, cataloguing, and eliminating shadow IT Set engineering standards across CI/CD, version control, and documentation Oversee pipeline orchestration (ETL/ELT) to ensure reliable, high-performing data flows Work cross-functionally with Finance, Data Science, and Architecture teams to deliver high-quality, trusted datasets ...

Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). \n Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. \n Expert-level skills in Requirements ...

Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. Expert-level skills in Requirements Engineering, Business ...

Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows).\ NActive curiosity andcomfort leveraging Generative AI tools to streamline administrative and analytical outputs.\ NExpert-level skills in Requirements Engineering, Business Process ...