26 to 50 of 220 Remote/Hybrid ETL Jobs

stakeholders across the organisation to define metrics and deliver analysis, translating findings into clear, actionable recommendations and compelling data stories. Engineer and manage robust ETL pipelines (including APIs) to integrate diverse data sources, enabling the creation of impactful, real-time reporting solutions. Design and maintain fit-for-purpose data models ...

Proven deep understanding of and experience with Microsoft Fabric, Snowflake or Databricks, or comparable technology Proven deep understanding of data engineering, ETL pipelines, and BI tools (Power BI, Tableau, etc.) Proven experience with containerization (Docker, Kubernetes) and serverless computing Familiarity with HIPAA, SOC2, or other compliance frameworks Demonstrated excellent communication ...

Skills and Experience Extensive experience in data architecture and data engineering at enterprise scale Cloud data platforms Microsoft Fabric, Snowflake, Azure, Databricks Data integration ETL ELT CDC streaming APIs and messaging Advanced data modelling relational dimensional and NoSQL Data governance, security, RBAC, privacy, and compliance Power BI and modern data ...

scheduled r-training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control ...

data platforms and analytics architecture across cloud environments, primarily using Microsoft Azure and Microsoft Fabric. Build and optimise end-to-end data pipelines and ETL/ELT processes to support reporting, analytics, and operational use cases. Own data reliability, performance, quality, and availability across core data assets. Data Platforms, Governance ...

business increases. What you'll be doing Helping shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last ...

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

Build and optimise data pipelines , databases and cloud data platforms. Develop AZure Data Factory/Fabric Data Factory pipelines and robust ETL/ELT processes. Work with SQL, APIs, event streams and diverse data formats. Contribute to solutions across data warehouses, lakes, lakehouses and semantic models . Ensure best practice ...

concepts: data modelling, survivorship, match and merge strategies. Experience in migrating data and applications from on-premises to cloud environments. Proficient in ETL processes, data integration, and data governance frameworks. Solid knowledge of SQL and relational databases. Familiarity with cloud platforms and services (AWS, Azure, or GCP) is an advantage. ...

cloud data migration Strong SQL and data modelling skills Proven experience building and owning data lakes, warehouses, or lakehouse platforms Hands-on experience with ETL/ELT pipelines (batch and/or near real-time) Experience building system-to-system integrations (HR, Finance, ERP, CRM, or operational systems) Solid understanding ...

Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices ...

translate data into actionable insights, supporting decision-making and improving visibility across programmes. You will also collaborate with data engineers to ensure data sources, ETL processes, and visualisations meet technical, governance, and security requirements. Key Responsibilities Design, build, and maintain Tableau dashboards, visualisations, and reports Translate business requirements into efficient ...

Proven hands-on experience as a Data Engineer or in a similar data-centric role. Strong proficiency in SQL and Python. Solid understanding of ETL/ELT pipelines, data modelling, and data warehousing principles. Experience working with cloud platforms such as AWS, Azure, or GCP. Exposure to modern data tools ...

including: Hands-on experience building and operating cloud-based data platforms in production Strong programming skills (Python, SQL and/or Spark-based frameworks) ETL/ELT pipeline design at scale Experience with modern data orchestration and workflow tools Infrastructure as Code (e.g. Terraform or similar) CI/CD practices ...

with confidence communicating at executive level Deep understanding of modern data architectures (e.g. lakehouse, medallion, API-driven) and integration patterns (API, ESB, event-driven, ETL/ELT) Solid knowledge of data governance, lineage, quality frameworks, and compliance Experience with agile product delivery, roadmap planning, and value-driven prioritisation A strategic ...

shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. … automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such ...

data pipelines are scalable, repeatable, and secure. Utilizes a deep dive analytical skillset on a variety of internal and external data. Your Responsibilities Writes ETL (Extract/Transform/Load) processes, designs database systems, and develops tools for real-time and offline analytic processing. Troubleshoots software and processes for data … special projects and performs other duties as assigned. Your Profile Essential Skills/Knowledge/Experience Proficiency in designing, development, and maintenance of robust ETL pipelines for data ingestion and transformation. Cloud platform expertise: Good exposure with AWS services for data storage, processing, and orchestration. Data modeling and architecture: Design ...

delivering enterprise-grade Power BI SQL Databases Data Visualisation, Power Query, DAX Azure SQL, Microsoft Fabric, Synapse, Data Lake would be desirable Understanding of ETL processes and Data Modelling Excellent analytical skills GIT/Azure DevOps Relevant professional certifications would be desirable e.g. DP-300, PL-300 etc. The company ...

insights for non-technical audiences Experience in project-based or Agile environments Supply chain or logistics exposure (or strong interest) Python, data warehousing, and ETL experience beneficial This is a high-impact role offering strong stakeholder exposure, long-term career development, and a competitive package within a data-driven organisation. ...

standards What you’ll need Strong Azure & Databricks engineering experience Advanced Power BI + SQL (SSIS a bonus) Solid data modelling (star schema, medallion, ETL patterns) Confident working with messy/complex data sources Performance tuning & optimisation skills Contract details 6-month Contract with a view of being extended Hybrid ...

data pipelines, data warehouses, and data platforms Solid knowledge of DataOps practices, including CI/CD, containerisation, and workflow orchestration Hands-on experience with ETL/ELT frameworks and big data tools (e.g. Spark, Airflow, Hive) Proficiency in programming languages such as Python, Java, and SQL Experience with SQL and ...

services (e.g. Data Factory, Synapse, Databricks, Azure SQL, ADLS) Proven use of Terraform to provision and manage cloud infrastructure Solid understanding of data modelling, ETL/ELT patterns, and large-scale data processing Experience working in cloud-native, production environments Ability to balance hands-on delivery with technical leadership and ...

and the Azure data platform (Data Factory, Synapse, etc.). Experience with Databricks (or strong willingness to learn). Solid understanding of data architecture, ETL processes, and performance optimisation. Excellent leadership and communication skills. What's Offered Competitive salary up to £75,000. Hybrid working model - 1 day per week ...

strategies, and performance optimisation Defining and enforcing engineering standards across code quality, testing, CI/CD, IaC, and observability Building and optimising ELT/ETL pipelines using Glue (PySpark) , Lambda, Step Functions, and event-driven patterns Championing security-by-design in collaboration with security and assurance teams (IAM, KMS, encryption ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...