1 to 25 of 215 Remote/Hybrid ETL Jobs

roadmap, ensuring alignment with cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated ...

cases across the organisation. Key Responsibilities Design, build, and maintain scalable, secure, and reliable data pipelines (batch and streaming). Develop and optimise ETL/ELT workflows to ensure efficient data ingestion and transformation. Build and maintain data models , feature stores, and data marts to support analytics and AI initiatives. ...

considerations and enterprise data governance frameworks. As part of your duties, you will be responsible for: Design, build and maintain scalable data pipelines and ETL/ELT processes using modern cloud data engineering practices Develop and optimise data lake and data warehouse architectures on AWS Ensure high standards of data ...

Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required. Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake). Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform ...

architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Experience with ...

architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Experience with ...

Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge of Databricks security: RBAC, IAM, encryption Excellent analytical ...

fundamentals in data engineering and proven experience delivering solutions within complex environments. Essential Skills and Experience: Strong SQL and data modelling skills Experience with ETL/ELT tools such as Informatica, Talend, Pentaho, AWS Glue, or similar Familiarity with data platforms such as Oracle, Cloudera, or enterprise data warehouses Proficiency ...

technical teams A security-first mindset when designing and implementing solutions Qualifications & Experience Essential Strong version control principles relating to databases Experience with ETL processes (SSIS or Azure Data Factory preferred) High availability and disaster recovery for SQL Server environments Administering, managing, and maintaining large-scale databases Advanced performance tuning ...

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 maintaining high-performance data pipelines ingesting structured and unstructured datasets from a variety of internal and external sources. Developing ingestion processes including scrapers, ETL pipelines, crawlers, streaming jobs, and services. Cleaning, transforming, and enriching datasets to ensure high quality and usability across analytics and trading use cases. Designing storage ...

teams o Experience operating within agile delivery environments Data & Integration Expertise o Strong understanding of integration design patterns (REST APIs, message queues, eventdriven integration, ETL, batch processing). o Experience working with master data domains (Party, Facility, Instrument, Product, Country, Sector, Ratings). Technology & Platform Knowledge o Hands-on architectural ...

Engineering, Mathematics, or related discipline or equivalent experience. * Professional certifications (e.g., Snowflake SnowPro, Microsoft Power BI Data Analyst) beneficial. Key Responsibilities: Data Management & Processing: * Extract, transform, and load (ETL) data from multiple sources, primarily using Snowflake, SQL, and associated pipelines. * Ensure high data quality, integrity, consistency, and availability. * Develop repeatable … Snowflake preferred). * Proficiency building Power BI dashboards, DAX formulas, and data models. * Experience working with cloud-based data warehousing platforms. * Understanding of ETL/ELT concepts, data modelling, and data architecture. * Proficient in Excel and general data manipulation tools. Analytical Skills: * Ability to interpret large datasets into actionable insights. ...

OneLake) and Snowflake . This role is central to powering our BI, analytics, and AI/ML initiatives. The Role Build & Integrate: Develop complex ETL/ELT pipelines and implement OneLake interoperability between Fabric and Snowflake. Architect: Operate a Medallion architecture (Bronze/Silver/Gold) and design curated datasets ...

experience with SQL Server, stored procedures, and complex query development. Solid understanding of data warehouse concepts, including Star Schema/Kimball methodologies. Experience with ETL processes, data migration, and data integration across multiple systems. Familiarity with Tableau, Power BI, or other BI/reporting tools. Exposure ...

Python or other scripting languages for data analysis is advantageous. Experience with cloud platforms (Azure or AWS). Desirable Skills Understanding of data warehousing, ETL processes and data modelling . Experience with financial data, risk analytics or regulatory reporting . Strong communication skills and ability to present insights ...

like Azure Data Factory and Databricks Workflows. Knowledge of lakehouse architectures , modern data engineering, and data warehousing principles. Understanding of data modelling, ELT/ETL pipelines, and testing frameworks . Familiarity with CI/CD, version control, and DevOps practices. Strong problem-solving, debugging, and technical leadership skills. Awareness ...

pipelines with Azure Data Factory and Databricks Workflows. Solid understanding of Lakehouse architectures and modern data warehousing principles. Experience with data modelling, ELT/ETL pipelines, and testing frameworks. Familiarity with CI/CD pipelines, version control, and DevOps practices. Knowledge of security, governance, and cost optimisation in cloud data ...

practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability ...

practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability ...

practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability ...

Azure, or GCP) Advanced SQL skills and experience with at least one backend language (Python, Scala, Java, etc.) Hands-on experience with data warehouses, ETL/ELT, and distributed systems A mindset focused on performance, reliability, automation, and scalability Confidence working cross-functionally and owning technical decisions Exposure to large ...

implemented efficient and scalable data models that support reporting and analytics requirements. • Used Power Query (or similar tools) for data extraction, transformation, and loading (ETL) processes to prepare data for analysis. • Demonstrable skill in performing data analysis on large datasets and preferably worked in data engineering roles to analyse and ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...