376 to 400 of 1,112 Remote ETL Jobs

a multi-disciplinary squad using several technologies to build enterprise grade services. Specific responsibilities for this role include the development of data systems as required, development and optimisation of ETL layers, maximising opportunities to re-use existing data flows and provide support in relation to data platforms and data integration within our cloud estate. Working Style This role will be More ❯

critical infrastructure, while enjoying a hybrid working model with 3 days per week on-site . What You’ll Be Doing: Designing, building, and maintaining scalable data pipelines and ETL processes. Collaborating with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Ensuring data quality, integrity, and security across various platforms. Supporting the migration and integration of More ❯

enterprise environments. Expertise in cloud-based data platforms (AWS, Azure, GCP, Snowflake, Databricks). Strong knowledge of modern data architectures (Data Mesh, Data Lakehouse). Experience with data modeling, ETL/ELT processes, and real-time data processing . Familiarity with data governance, security, and compliance frameworks . Hands-on experience with database technologies (SQL, NoSQL, Graph DBs) and data More ❯

optimize data solutions using various technologies, contributing to the creation of enterprise-grade data services. A key part of this role will involve building and enhancing data systems, optimizing ETL processes, and ensuring smooth data integration within a cloud environment. Responsibilities: Lead data enhancements and implement plans to utilize existing tools and team skills effectively. Collaborate with Data Management and More ❯

optimize data solutions using various technologies, contributing to the creation of enterprise-grade data services. A key part of this role will involve building and enhancing data systems, optimizing ETL processes, and ensuring smooth data integration within a cloud environment. Responsibilities: Lead data enhancements and implement plans to utilize existing tools and team skills effectively. Collaborate with Data Management and More ❯

Proven skills in SQL Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid understanding of data architecture, transformation workflows, and pipeline orchestration Clear communicator who can collaborate with both technical and More ❯

and creative solutions. What Do We Need From You? Experience developing Azure Data solutions Knowledge of data modelling principles (star schema, snowflake, data vault) Experience implementing end-to-end ETL/ELT solutions Maintaining and optimising an Enterprise Data Warehouse Data analysis skills Testing and software release management experience Business process and requirements analysis experience Full software development lifecycle understanding More ❯

role is ideal for an experienced data engineer with a strong technical foundation and the ability to collaborate effectively in agile, cross-functional teams. Essential Experience Includes Proficiency with ETL platforms such as SSIS, AWS, or Azure Data Factory Experience configuring/administering AWS or Azure data platforms and analytics services like Power BI or Pentaho BA Strong working knowledge More ❯

Azure Synapse, Databricks, and SQL-based transformations Integrate APIs and web services to collect and ingest external data into centralised data platforms Use Python to automate data processing, perform ETL tasks, and write modular, reusable code Support the development of analytics dashboards and reports using Power BI Collaborate with software engineers to embed data flows into wider application architectures Participate More ❯

Execute elected data analysis activities. Such activities may be defined as procedural or programmatic tasks related to the analysis, extraction, transformation, and uploading of data (structured and unstructured) (i.e., ETL processes). • Perform Data analysis activities that may also be supplemented by summarized technical narratives describing the integrity of specific automated controls. • Write data analysis code (e.g. Python, Java, or … Audit team members Basic Qualifications • 3+ years of experience with a minimum of bachelor’s in computer science, Math, or Statistics • Strong experience in RDBMS/SQL • Exposure to ETL Processes and Data Engineering • Experience in implementing Data Quality measures and entitlement models • Familiarity in programming languages such as Python • Strong team player with excellent communication skills (written and oral More ❯

code with proficiency in Python for data processing and related packages. Data Infrastructure Knowledge : Deep understanding of SQL and analytical data warehouses (Snowflake, Redshift preferred) with proven experience implementing ETL/ELT best practices at scale. Pipeline Management : Hands on experience with data pipeline tools (Airflow, dbt) and strong ability to optimise for performance and reliability. API Development Experience : Ability More ❯

track record of designing and managing scalable data pipelines. Experience in a similar capacity, with a focus on designing and implementing robust data pipelines and infrastructure. Thorough knowledge of ETL processes, with the ability to optimize data extraction, transformation, and loading. Extensive commercial expertise with AWS, including services like Glue, Data Catalog, R and large-scale data storage solutions such More ❯

than 2 years. Proficiency in SQL and data modeling techniques , with knowledge of Data Vault modeling being a significant asset. Experienced in designing and managing data pipelines , including traditional ETL solutions and Python programming. Familiar with cloud technology , with experience in AWS being advantageous. Relevant cloud certifications are a plus. Knowledgeable in Agile methodologies and DevSecOps practices. Fluent in both More ❯

Compliance: Basic understanding of data security and ethics policies. Data modelling, cleansing, and enrichment Data cleansing and standardisation: Experience resolving data quality issues. Data integration tools: Basic experience with ETL tools and ensuring data interoperability. Collaboration: Working with data professionals to improve practices. Visualisation requirements: Ability to understand and create suitable visual data representations. Visualisation tools: Experience with Tableau, Power More ❯

a multi-disciplinary squad using several technologies to build enterprise grade services. Specific responsibilities for this role include the development of data systems as required, development and optimisation of ETL layers, maximising opportunities to re-use existing data flows and provide support in relation to data platforms and data integration within our cloud estate. Working Style This role will be More ❯

in Backend Development: Experience building APIs and services, preferably in Ruby, but open to other languages with the ability to quickly learn new ones. Data Engineering Knowledge: Familiarity with ETL pipelines, data modelling, and pre-aggregation techniques to handle large datasets. Analytical Thinking: Ability to debug, optimise, and solve problems across complex systems and services. CI/CD and Testing More ❯

best practices. Proficiency in SQL and data querying for data validation and testing purposes. Hands-on experience with Snowflake, Airflow or Matillion would be ideal Familiarity with data integration, ETL processes, and data governance frameworks. Solid understanding of data structures, relational databases, and data modelling concepts. Excellent analytical and problem-solving skills with the ability to identify data quality issues More ❯

formats, including JSON, XML, Hive tables, and Parquet files Cloud platforms (e.g., Azure, AWS, GCP), including deployment, configuration, and integration of database services Data warehousing, including dimensional modelling and ETL processes Machine learning pipeline awareness Experience with data governance and metadata management What is also important to us is that you are highly motivated and adaptable with the ability to More ❯

it's a challenge that will help your career grow within an iconic organisation. Here's what to expect: Design, develop, and optimize scalable data pipelines, data models, and ETL processes while ensuring data quality and integrity Partner with business stakeholders to translate business requirements into technical specifications and ensure alignment Deliver financial value to the business through analytics projects More ❯

efficient and seamless code deployment. Manage and maintain a fully separated staging environment for testing and development. Monitor AWS infrastructure for cost efficiency, identifying and implementing improvements. Optimize Snowflake ETL pipelines to reduce costs while maintaining performance and reliability. Manage GPT pipelines in Azure to ensure performance and cost-efficiency. Develop and maintain data pipelines for integrating external electronic health More ❯

of experience with SQL. Should have 3+ years of data engineering experience preferably with a Financial services company. Must be able to analyze complex datasets. Ability to design backend ETL for data extraction, build data models and maintain existing dashboard libraries. Experience of working with ERP systems, Oracle, SAP, SAP BW and SAP BO preferred. Experience with Qlik or other More ❯

be at the forefront of ensuring the efficiency and accuracy of our data platforms and processes. Your responsibilities will encompass building robust code to underpin our platforms and implementing ETL processes to streamline data movement. Crucially, you'll be tasked with optimising data pipelines to enhance the performance of reporting tools and dashboards. Automation will be a key focus, as More ❯

with networking, security, and identity management in cloud platforms. Hands-on experience with cloud infrastructure as code (e.g., Terraform, ARM Templates, or Google Cloud Deployment Manager) Good understanding of ETL, ELT processes, and modern architecture patterns e.g. Data Fabric, Data Mesh Experience with migration to cloud data stores Exposure of hybrid and multi-cloud strategies and solutions Experience in a More ❯

technical architecture of our solutions, ensuring they meet performance, scalability, and security requirements. Design and develop scalable AWS architectures for API-based and data-centric applications. Define data pipelines, ETL processes, and storage solutions using AWS services such as S3, OpenSearch, Redshift, Step Functions, Lambda, Glue, and Athena. Architect RESTful APIs, ensuring security, performance, and scalability. Optimise microservices architecture and More ❯

Technologies: ETL, Data Warehouse, Informatica, Oracle, SQL, Database Design, Metadata Management, Data Modelling, Data Quality, Data Lake Concepts, QlikView, Communication Calling urgently for ETL developers for an exciting REMOTE contract opportunity to join a financial sector client, based in Sweden! Our client is looking for an ETL developer who has experience within the financial industry and working in multicultural environments. … The selected ETL developer will work closely with Scrum Master, Product Owner, Business Intelligence Architect, Data Analyst, as well as business stakeholders. The role: Key Responsibilities: Develop common Enterprise Data Warehouse platform based on Informatica PowerCenter and Oracle database Design secure and reliable workflows for staging, cleansing, and loading with high performance Work closely with business stakeholders to understand requirements … Oracle (and SQL) Good knowledge of data quality and handling quality issues Extensive knowledge in Informatica PowerCenter Knowledge of business intelligence tools (QlikView etc.) is a plus Experience with ETL tools and processing Experience with data lake concepts Experience working with data quality Experience designing data warehouse solutions Experience with master data management Experience with metadata and reference data management More ❯