276 to 300 of 1,097 Remote ETL Jobs

of leading complex data initiatives Strong technical leadership experience, with the ability to guide and develop engineering teams Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data More ❯

an Agile or Scrum environment. Experience working in the Defence, Nuclear or Public Sector industries. Strong knowledge of database management systems (e.g., SQL, NoSQL). Proficiency in data modelling, ETL processes, and data warehousing. Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. Strong knowledge More ❯

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate should have a robust background in the various phases of ETL data applications, including data ingestion, preprocessing, and transformation. This role is perfect for someone who thrives in a fast-paced environment and is passionate about leveraging data to drive business … processing systems to ensure optimal efficiency. Stay updated with emerging trends and technologies in data engineering and propose adaptations to existing systems as needed. Proficient in AWS Glue for ETL (Extract, Transform, Load) processes and data cataloging. Hands-on experience with AWS Lambda for serverless computing in data workflows. Knowledge of AWS Glue Crawler Kinesis RDS for batch/real More ❯

data including basic SQL scripts for updating records. Collaborate with IT teams to gather requirements, understand business needs, and translate them into actionable insights. Develop and maintain data models, ETL (Extract, Transform, Load) processes, and data pipelines to ensure data accuracy and integrity. Create documentation, user guides, and training materials to facilitate the adoption of reporting solutions across the organization. … an IT environment. Proficiency in BI and data visualization tools such as Power BI; preferred. Skills in SQL for data extraction, manipulation, and analysis; preferred. Experience with data modelling, ETL processes, and data warehousing concepts. Understanding of IT infrastructure, systems, and operations. Experience in supporting data issues within business systems. Experience of the retail environment or an area of the More ❯

performance. Data Warehouses & Data Modelling: Strong experience with data warehouse and modelling concepts is essential for designing efficient and effective database structures. Understanding relationships, normalization, and denormalization is expected. ETL (Extract, Transform, Load) Pipelines: Experience with ETL (and ELT) processes is vital. The role is responsible for extracting data from various sources, transforming it, and loading it into data warehouses More ❯

loading data into Databricks. The ideal candidate will have successfully completed at least two projects of similar size and scope. Key Responsibilities: Develop and maintain data pipelines to transform and load data into Databricks. Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and ensure seamless data integration. Optimize data pipelines for performance, scalability, and reliability. Monitor … cloud-based data platforms (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of data governance and security best practices. Experience with ETL processes and tools. What BLN24 brings to the Game: BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care More ❯

the initial sentiment and topic classification models for review analysis Develop merchant benchmarking methodology across various industry categories Create data pipelines that integrate with our existing systems Implement efficient ETL processes to ensure data quality and reliability Design the data architecture with future expansion in mind Transform our product data into a strategic asset that delivers measurable value to merchants … data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably e-commerce or review data) Strong communication skills to collaborate with product and More ❯

Product Owner, Business Analyst, or similar role, with a strong focus on working directly with data engineering teams . Deep Data Expertise: A solid understanding of data warehousing concepts, ETL/ELT processes, data modeling, and various database technologies (e.g., SQL, and cloud data platforms like AWS Redshift, Google BigQuery, Snowflake). Strong Technical Acumen: The ability to grasp complex More ❯

etc. Build of dashboards to reconcile migrated data 10+ years’ experience of Consulting, Nonprofit, Government or Financial Services 7+ years’ experience of D365 CRM and hands-on skills with ETL tools. Desirable Experience Migration of data from Salesforce, Care NG, Raisers Edge, Lotus Notes, dotdigital, Hubspot, Faststats, Enthuse, GoFundMe, Everyday Hero, Memory Giving, PayPal, World Pay, Gift Aid processors, JustGiving … ETL/ELT best practice approaches to monitoring and error-handling Writing unit tests, git Version control Awareness of reliability patterns in ETL pipelines Techniques and tools for sanitizing data prior to use Azure data certifications Azure Synapse/Fabric: Synapse-link, Fabric Link, on-demand SQL engine Use of python in Jupyter notebooks for data processing Azure storage technologies More ❯

the team is multi-disciplinary with the following skills and capabilities: machine learning, optimization, statistical modeling, signal detection, natural language processing, data visualization, generative AI, network/graph modeling, ETL, data pipelines, data architecture, ML engineering, communication, product management and strategy. We work with data from a wide variety of sources including text, news feeds, financial reports, time series transactions … solving and communication skills Knowledge and experience we are looking for includes: DevOps automation, idempotent deployment testing, and continuous delivery pipelines Networking and security protocols, load balancers, API Gateways ETL tooling and workflow engines (e.g., Spark, Airflow, Dagster, Flyte) Accelerated compute libraries and hardware (e.g. pytorch, NVIDIA GPUs) Data modeling, and strategies for cleaning and validating data at scale Performance More ❯

as a BI Analyst or similar role, preferably within the gaming industry. Strong proficiency in Looker (preferred) or similar business intelligence tools. Experience with event tracking, data pipelines, and ETL processes is a plus. Proficiency in SQL and experience working with large datasets. Excellent analytical and problem-solving skills, with the ability to extract insights from complex data sets. Strong More ❯

roles or similar. Designed and 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 transform data for data science. More ❯

in this role. The ideal candidate will demonstrate most or all of the following: Strong technical expertise in AWS – Proven experience in designing and implementing cloud-based data architectures, ETL pipelines, and cloud-native applications, using services such as AWS EC2, S3, Lambda, Glue, Redshift, RDS, IAM, and KMS. Leadership & Stakeholder Management – Ability to engage with C-level executives (CDOs More ❯

in this role. The ideal candidate will demonstrate most or all of the following: Strong technical expertise in AWS – Proven experience in designing and implementing cloud-based data architectures, ETL pipelines, and cloud-native applications, using services such as AWS EC2, S3, Lambda, Glue, Redshift, RDS, IAM, and KMS. Leadership & Stakeholder Management – Ability to engage with C-level executives (CDOs More ❯

in this role. The ideal candidate will demonstrate most or all of the following: Strong technical expertise in AWS – Proven experience in designing and implementing cloud-based data architectures, ETL pipelines, and cloud-native applications, using services such as AWS EC2, S3, Lambda, Glue, Redshift, RDS, IAM, and KMS. Leadership & Stakeholder Management – Ability to engage with C-level executives (CDOs More ❯

AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What More ❯

will play a key role in ensuring efficient data processing, integration, and storage to support business intelligence and analytics. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT processes. Develop and optimize data infrastructure for performance and reliability. Work with structured and unstructured data to ensure high-quality data processing . Collaborate with Data Scientists, Analysts … and/or Scala . Experience with big data technologies (Spark, Hadoop, Kafka) is a plus. Hands-on experience with cloud platforms (AWS, Azure, Google Cloud). Knowledge of ETL tools, data warehouses (Snowflake, BigQuery, Redshift) and pipeline orchestration (Airflow, dbt). Understanding of data modeling, database design, and data governance principles . Familiarity with CI/CD pipelines for More ❯

skills to engage with stakeholders and the confidence to question stakeholders and present new ideas. Essential Skills - Data Analyst/Engineer: Azure Data Lake Azure Fabric Power BI Python ETL SQL Clear communication skills Desirable Skills - Data Analyst/Engineer: Ability to manipulate data from API DAX Understanding of the Data Lifecyle (Ingestion, Transformation and Consumption) Any related Qualifications If … we will be in touch.Azure/Azure Data Lake/MS Fabric/Azure Fabric/Fabric/Python/SQL/SQL Server/Data Transformation//ETL/Problem Solving/Data Analyst/Data Developer/Power BI/ More ❯

Data Engineer – Leeds– SQL | Power BI | Azure | ETL Ready to drive innovation with T-SQL and BI, shaping a cutting-edge data platform? Do you have the expertise to build and maintain complex data warehouses and Power BI solutions? Excited to solve BI challenges and support data-driven decision-making across the business? A fantastic new opportunity has arisen with … models. In addition to working with Power BI, you'll play a key role in optimising and developing the company's Data Warehouse. This will involve designing and maintaining ETL/ELT processes, ensuring seamless data integration and efficient data flow. You'll work with SQL Server, SSIS, and Azure Data Factory to ensure the warehouse can support large-scale … SQL expertise will be crucial for managing complex queries and troubleshooting data pipeline issues. Key Skills: SQL/T-SQL Power BI or Tableau Experience with data warehousing and ETL/ELT processes Azure If you're passionate about shaping data solutions and thrive in a fast-paced, collaborative environment, this could be the role for you. APPLY now or More ❯

making into reality, resulting in significant business value and opportunity. Well suited to someone who sees a future as a Head of BI & Data Engineering. Current tech stack is - ETL (Azure Data Factory) > DW (Azure SQL) > Data Models (Azure Analysis Services) > Visualisation (Power BI). Key areas of role include: Ensuring scalable, secure, and reliable data and BI architecture, including … Experience required: Experience in building and scaling BI and Data Architecture. Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI, etc. Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow. Experience with Cloud-based solutions (Azure, AWS, or Google). #J-18808-Ljbffr More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles, including a Data Engineer position to join …/Databricks and Java/Python, as well as experience with Microservices Architecture and Continuous Integration. Exposure to NUnit, MSTest, and Junit would be beneficial, along with knowledge of ETL, Azure DevOps, AWS, and Jenkins. There is a wealth of knowledge and experience within the business to share with the right candidate. Therefore, the right attitude, cultural fit, collaboration, problem More ❯

Data Engineer – Investment Banking – London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to …/Databricks and Java/Python, as well as experience with Microservices Architecture and Continuous Integration. Exposure to NUnit, MSTest and Junit would be beneficial, along with knowledge of ETL, Azure DevOps, AWS, and Jenkins. There is a vast amount of knowledge and experience within the business to share with the right person, so the right attitude, cultural fit, collaboration More ❯

Data Engineer – Investment Banking – London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to …/Databricks and Java/Python, as well as experience with Microservices Architecture and Continuous Integration. Exposure to NUnit, MSTest and Junit would be beneficial, along with knowledge of ETL, Azure DevOps, AWS, and Jenkins. There is a vast amount of knowledge and experience within the business to share with the right person, so the right attitude, cultural fit, collaboration More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to …/Databricks and Java/Python, as well as experience with Microservices Architecture and Continuous Integration. Exposure to NUnit, MSTest and Junit would be beneficial, along with knowledge of ETL, Azure DevOps, AWS, and Jenkins. There is a vast amount of knowledge and experience within the business to share with the right person, so the right attitude, cultural fit, collaboration More ❯

and ensure reporting solutions are both accurate and impactful. Responsibilities: Design and build interactive dashboards and reports using Power BI. Write complex SQL queries, stored procedures, and scripts for ETL processes. Collaborate with stakeholders to understand reporting needs and translate into functional BI solutions. Optimize Power BI data models and SQL queries for performance and scalability. Ensure accuracy, consistency, and … Power BI, including Power Query (M), DAX and custom visual development. Proven expertise in SQL, including complex joins and performance tuning. Strong knowledge of T-SQL, data warehousing, and ETL best practices. Experience with integrating and visualising data from multiple sources. Excellent communication skills with the ability to present technical concepts and data visualisations clearly to non-technical stakeholders. Understanding More ❯