51 to 75 of 418 ETL Jobs

and continuously improve data products. Your Profile Strong product management experience (ideally in data or analytics products) Solid understanding of: Data architecture and pipelines (ETL/ELT) Data warehousing (e.g., Snowflake, Azure Synapse, Big Query) BI tools (Power BI, Tableau, Looker) Knowledge of SQL and data querying (hands ...

powered workflows and integrations using modern LLM technologies. Support analytics and reporting initiatives through high-quality, reliable data delivery. Apply best practices around ETL/ELT, data governance, version control, and automation. Additional Experience & Attributes: Strong SQL and Python skills, with experience using data processing libraries and API integrations. Experience ...

application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data ...

environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering) Experience working with large-scale structured and unstructured datasets Knowledge of AI ethics, bias mitigation, and model governance Comfortable working in Agile ...

solutions aligned to their analytical needs Build modern Data Warehouse and Data Lake/Lakehouse solutions (primarily using Microsoft Fabric) Design and develop complex ETL/ELT pipelines Deliver secure, scalable, and high-performing data platforms and infrastructure Implement best practices across data architecture, performance, and security Produce clear technical ...

large-scale data transformation, migration, or analytics programmes. Technical Literacy: Strong understanding of modern data stacks (e.g., Cloud data platforms like Databricks/Azure, ETL/ELT pipelines, BI tools). Ability to read/interpret data models and SQL queries to drive product decisions. Methodology:Extensive experience working ...

Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into ...

/Data Engineering Develop complex SQL queries, stored procedures, views, and functions to support analytics and custom applications. Perform data extraction, transformation, and loading (ETL) activities across multiple data sources. Ensure data quality, accuracy, and integrity within reporting and application ecosystems. Work with Azure SQL, SQL Server, or other relational ...

Skills & Experience Proven experience in a data-focused role Strong background in data warehousing and dimensional modelling Understanding of database management systems, OLAP and ETL frameworks Experience with cloud data platforms (ideally Microsoft Fabric) Familiarity with Power BI or similar BI tools Ability to optimise and troubleshoot query performance Strong ...

engineering, data analytics, or data platform roles supporting business users Strong SQL skills for data transformation and analysis; experience with Python and/or ETL tools for automation and processing Solid understanding of CRM platforms, cloud data architectures, and API-based integrations Experience working with regulated or sensitive datasets, including ...

data platforms including SQL, Databricks, and cloud-based environments. Working knowledge of Salesforce ecosystem including Data Cloud, CRM, and Marketing Cloud. Demonstrated experience with ETL tools (Alteryx or comparable). Experience with Master Data Management solutions, preferably Informatica. Exposure to CDPs and modern marketing data platforms. Prior experience owning ...

data platforms including SQL, Databricks, and cloud-based environments. Working knowledge of Salesforce ecosystem including Data Cloud, CRM, and Marketing Cloud. Demonstrated experience with ETL tools (Alteryx or comparable). Experience with Master Data Management solutions, preferably Informatica. Exposure to CDPs and modern marketing data platforms. Prior experience owning ...

product/platform teams. • Contribute reference implementations and reusable components. Data & Integration Architecture • Strong command of domain modeling, REST/event driven patterns, ETL/ELT, API management, data governance, and privacy/security patterns for analytics and AI enablement. Security, Resilience & Compliance • Familiar with NIST frameworks (including ) and CMMC ...

Revit API, pyRevit, Rhino, Grasshopper, IES VE (and it’s Python API), BIM data standards (IFC, COBie) Cloud & Infrastructure: AWS/Azure, Git, Ansible Extract, Transform and Load (ETL) Responsibilities Key responsibilities of the roleIn addition to the core technology listed above, this role will involve: Developing and maintaining custom ...

Umbrella (this role is deemed inside IR35) or £32.50 PAYE Duration: 12 months (likely extension) Responsibilities: Data Engineering & Data Management: Develop and maintain ETL/ELT pipelines using Python, SQL, and Snowflake. Cleanse, validate, transform, and manage enterprise data. Support scheduled data loads and data quality checks. Assist with data ...

designing, building, and supporting robust data pipelines and system integrations that power business-critical analytics and operations. Key areas include: Building and maintaining ETL/ELT pipelines for structured, reliable data Developing integrations using REST APIs across multiple platforms Designing automated workflows to reduce manual processes Working with Microsoft Fabric ...

Service knowledge like S3, Lambda Data Warehouse/Data Modeling concepts SQL & Java scripting Data Integrations Informatica IDMC/PowerCenter or any ETL tools Data Pipeline Concepts - ingestion/transformation Information protection/Encryption SAP SLT Application Ecosystems SAP S4 SAP S4 Datasources BI Tools like SAP Business Object ...

Service knowledge like S3, Lambda Data Warehouse/Data Modeling concepts SQL & Java scripting Data Integrations Informatica IDMC/PowerCenter or any ETL tools Data Pipeline Concepts - ingestion/transformation Information protection/Encryption SAP SLT Application Ecosystems SAP S4 SAP S4 Datasources BI Tools like SAP Business Object ...

Service knowledge like S3, Lambda Data Warehouse/Data Modeling concepts SQL & Java scripting Data Integrations Informatica IDMC/PowerCenter or any ETL tools Data Pipeline Concepts - ingestion/transformation Information protection/Encryption SAP SLT Application Ecosystems SAP S4 SAP S4 Datasources BI Tools like SAP Business Object ...

modelling (Star Schema, dimensional modelling). Strong SQL skills and experience with data warehousing concepts. Experience with Power BI and semantic models. Knowledge of ETL/ELT processes and modern cloud data platforms. Experience with Azure data services is desirable. ...

data quality and integrity Required Skills Strong SQL skills Experience with Power BI, Tableau or similar tools Experience with Python or R Understanding of ETL processes Strong analytical mindset Desirable Experience with cloud data platforms Knowledge of data warehousing concepts Experience with big data tools Eligibility Requirement Applicants must ...

Power BI for reporting and visualisation Experience working with Microsoft Fabric or similar data lake/data platform technologies Solid understanding of data structures, ETL processes, and data pipelines Ability to communicate insights clearly to both technical and non-technical stakeholders Strong experience in data analysis and data modelling Proven ...

technical direction, and gain exposure to cutting-edge cloud and data technologies. What You’ll Be Doing Designing and building scalable data pipelines and ETL solutions Working with structured and unstructured datasets across cloud environments Developing robust data engineering solutions using Python and SQL Supporting data migration, transformation, and integration ...

and maintain Salesforce data models, integration frameworks, and customer data strategies. Establish data governance, master data management (MDM), and data quality standards. Design scalable ETL/ELT pipelines and data integration solutions. Partner with business and technical stakeholders to translate business requirements into data solutions. Support analytics, reporting, and ...

Lead the architecture of modern Azure-based data platforms, including Data Lake, Lakehouse and Data Warehouse environments Drive the design of scalable data pipelines, ETL/ELT frameworks and integration patterns Establish governance, data quality and security standards across the platform Support cloud migration and legacy modernisation initiatives Provide architectural ...