26 to 50 of 164 Remote/Hybrid ETL Jobs

business rules, and reporting methodologies to ensure consistency and scalability. Requirements 4+ years of BI or Data Analytics experience. Proficiency in SQL (joins, aggregations, ETL logic, stored procedures). Expertise in Power BI (modeling, DAX, visuals, Power Query). Strong data modelling concepts (facts/dimensions, relationships). Advanced Excel ...

Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, youll help shift the organisation from reactive issue resolution ...

optimising scalable data pipelines and data architecture across a complex business environment. The team is looking for someone who can work across Python, SQL, ETL/ELT processes, Azure-based services and Power BI , while helping to improve data quality, reporting capability and overall accessibility of business-critical data. There ...

experience with Kafka, Flink, or Spark (streaming focus is a strong advantage) Solid understanding of streaming concepts (event time, state, backpressure) Experience building ETL/ELT or real-time data pipelines Familiarity with AWS (or Azure/GCP) Knowledge of distributed systems, microservices, and performance optimisation Experience with CI/ ...

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 ...

and optimisation At least one data engineering programming language (e.g., Python) Data modelling (dimensional, star schema, analytics-optimised models) Building and maintaining production-grade ETL/ELT pipelines Orchestration and scheduling tools Version control (e.g., Git) CI/CD principles for data workloads Environment separation (Dev/Test/Prod ...

with our client-facing NextJS application Plan and prioritise work in collaboration with technical and non-technical stakeholders Tools & Technologies Python — primary language for ETL, API clients, data validation, and pipeline development SQL — analytical and transactional queries, transformations, and data investigation AWS — cloud infrastructure and managed services Terraform — infrastructure ...

ecosystem. Salesforce Data Cloud Consultant certification is required. Strong experience with APIs and third-party integrations, including REST, SOAP, and other protocols. Proficiency in ETL tools, data migration, and data cleansing methodologies. Moderate to advanced SQL skills , with experience writing complex queries. Experience integrating with cloud-based data warehouses/ ...

. The right person will be comfortable sitting between data engineering and security/IAM teams . What youll be doing Build and maintain ETL/ELT pipelines using Azure Data Factory, Databricks and SQL Server Develop and support data models, reporting layers and curated datasets for IAM/access ...

practices. Key Responsibilities Design and maintain scalable data architectures across Snowflake and Databricks Lead schema design, dimensional modelling, and SQL performance optimisation Build robust ETL/ELT pipelines Develop resilient API ingestion workflows Implement data quality frameworks and enforce data contracts Build CI/CD pipelines and automated testing ...

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 ...

responsibilities, and manage multiple projects efficiently Explore emerging technologies, including AI & ML, to enhance analytical capabilities (training available) Collaborate with data engineers to support ETL process improvements Whats next? Its easy! Click APPLY now! We cant wait to hear from you! Your data will be handled in line with GDPR. ...

mathematics and analytical reasoning Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions Development Environments: Linux/Ubuntu, Git/Bitbucket, Jira, Confluence Familiarity with ...

mathematics and analytical reasoning Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions Development Environments: Linux/Ubuntu, Git/Bitbucket, Jira, Confluence Familiarity with ...

excited by solving complex data challenges in a high-performance environment, we’d love to hear from you. Data Engineering, Data Pipelines, ETL, Python, SQL, Spark, Databricks, Airflow, AWS, Azure, GCP, Cloud Technologies, Data Processing, Data Transformation, Data Quality, Scalable Systems, Data Applications, Data-Intensive Systems, Data Engineer, Engineering Consultant ...

Snowflake, dbt, GitHub, and Airflow in a production environment. Demonstrable experience delivering data engineering or analytics platform programmes. Solid understanding of modern data stacks, ETL pipelines, and cloud‐based data platforms. Experience working within Agile delivery environments. Strong communication skills with the ability to engage engineering teams and senior stakeholders. ...

modelling) Experience with cloud platforms such as AWS, Azure, or GCP Expertise in database technologies (SQL and NoSQL) Familiarity with data integration tools and ETL/ELT processes Strong understanding of data governance and data quality frameworks Ability to communicate complex technical concepts to non-technical stakeholders ...

modern, AI-enabled data platform Real ownership and influence in a growing, forward-thinking data team What You'll Do: Build and maintain ETL/ELT pipelines and data models in Fabric (Data Factory, Notebooks, Spark) Write high-performance Spark SQL, T-SQL, Python/PySpark Manage ingestion, transformation, and ...

projects, building scalable data platforms that support clinical insights, product development, and operational efficiency. Key Responsibilities Design, build, and maintain robust data pipelines and ETL/ELT processes Integrate data from a variety of sources including clinical systems, APIs, and third-party providers Collaborate with data scientists, analysts, and product ...

modern data platform to seamlessly integrate and manage data from diverse sources. Maintain and enhance sophisticated financial models and reporting systems. Implement robust ETL processes to ensure data flows smoothly and accurately. Champion data accuracy, consistency, and integrity across all BI deliverables. Contribute to the establishment and enforcement of data ...

pipelines, and modelling — not just one area Been hands-on with tools like Snowflake, dbt, and Azure (or similar cloud environments) Designed and maintained ETL/ELT pipelines, ideally using tools like Azure Data Factory Strong SQL skills, including complex querying and performance optimisation Experience working with CI/ ...

security controls and statutory requirements. Comprehensive knowledge of Microsoft PowerBI, PowerQuery In depth knowledge of how data pipelines are designed, structured and validated, including ETL/ELT concepts, transformation logic, and orchestration frameworks. Strong understanding of business intelligence and reporting practices, including semantic modelling, measures/KPIs, and performance reporting ...

security controls and statutory requirements. Comprehensive knowledge of Microsoft PowerBI, PowerQuery In depth knowledge of how data pipelines are designed, structured and validated, including ETL/ELT concepts, transformation logic, and orchestration frameworks. Strong understanding of business intelligence and reporting practices, including semantic modelling, measures/KPIs, and performance reporting ...

developing Java-based applications in a microservices architecture. Solid experience building and maintaining backend services and APIs. Experience contributing to data engineering pipelines, including ETL/ELT workflows, batch processing, and scheduled data builds. Strong understanding of data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend ...

frameworks using Java or similar languages. Solid experience testing REST APIs, backend services, and service‑to‑service integrations. Proven experience validating data engineering pipelines (ETL/ELT, batch jobs, scheduled data builds). Strong SQL skills for data validation, reconciliation, and analysis. Experience with data warehouses, data lakes ...