326 to 350 of 1,098 Remote ETL Jobs

availability, and resilience needs. Data Architecture Mastery - Skilled in developing batch and streaming data pipelines across on-premises and cloud ecosystems , with a strong grasp of data processing workflows (ETL/ELT, orchestration) and database technologies ( relational, NoSQL ). Analytical Problem-Solver - Ability to tackle complex challenges with strategic and innovative solutions that ensure scalability and reliability. Strong Communicator & Collaborator More ❯

collaboration, with the ability to work closely with technical and non-technical teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical environments, particularly with large-scale data platforms. Seniority level Seniority level Mid More ❯

automation and best practices to enhance efficiency. Requirements Candidates should have: 3+ years of experience in quality assurance, test automation, or data validation . Experience in testing data pipelines, ETL/ELT workflows, and big data environments . Familiarity with Azure data platforms , such as Databricks, Azure Data Factory, Synapse Analytics, or ADLS . Proficiency in SQL and scripting languages More ❯

of the reporting process and tools. Qualifications Ideally, you’ll have: Proficient in Power BI, including report creation, data modelling, and DAX. Strong understanding of data warehousing concepts and ETL processes. Experience with SQL for data extraction and manipulation. Familiarity with data visualisation best practices and principles. Excellent analytical and problem-solving skills. Strong communication skills, with the ability to More ❯

Relevant Microsoft certifications in Dynamics 365 and/or Power Platform. Experience working in agile delivery environments, particularly at scale. Knowledge of SSRS, FetchXML, SSIS, or other reporting and ETL tools. Experience with Power Pages (Portals) and customer-facing apps. Familiarity with data compliance standards (e.g., GDPR) and security models within Dynamics. Soft Skills & Traits A confident problem-solver with More ❯

assurance strategy across the entire Group Data Platform , covering data engineering, platform engineering, and governance. Lead the design, development, and adoption of test automation frameworks to validate data pipelines, ETL/ELT processes, metadata management, and infrastructure components . Ensure the quality and accuracy of data governance, data lineage, and security policies , aligning with compliance standards. Oversee validation of platform More ❯

algorithms such as neural networks, decision trees, and surrogate models to drive AI initiatives. Utilize modern tools and methodologies such as Data Lakes, serverless computing (Athena/Lambda), and ETL processes to manage data storage and computational needs. Employ data visualization tools like Power BI, Tableau, or Qlik to translate data insights into actionable intelligence. Required Qualifications: 4+ years of 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 ❯

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 ❯

technologies, emerging tools, and best practices to stay ahead in the data and analytics field and bring new ideas into the team An understanding of core data concepts including ETL processes, data warehousing, relational databases, and data modelling Capability to work collaboratively in cross-functional teams and contribute to continuous improvement in delivery processes Project delivery experience Stakeholder management experience More ❯

engagements, technical workshops, and design authority forums. Key Skills & Experience: Proven experience in architecting Azure data solutions, particularly in NHS or healthcare settings. Hands-on experience with data integration, ETL/ELT pipelines, and batch/real-time processing. Strong knowledge of data security, governance frameworks, and NHS interoperability standards (FHIR, HL7). Familiarity with DevOps practices, CI/CD More ❯

a positive atmosphere, and championing team spirit Master of Science Degree in software engineering or a related field Proficiency in English spoken and written Nice-to-Haves: Experience with ETL/ELT pipeline design and tools (e.g., Apache Airflow). Familiarity with Change Data Capture (CDC) solutions. Knowledge of database services on other cloud platforms (e.g., Azure SQL Database, Google More ❯

a positive atmosphere, and championing team spirit Master of Science Degree in software engineering or a related field Proficiency in English spoken and written Nice-to-Haves: Experience with ETL/ELT pipeline design and tools (e.g., Apache Airflow). Familiarity with Change Data Capture (CDC) solutions. Knowledge of database services on other cloud platforms (e.g., Azure SQL Database, Google More ❯

Data Engineer (Python Spark ETL) London/WFH to £90k Are you a tech savvy Data Engineer keen to make an impact, delivering Greenfield systems You could be progressing your career at a successful and growing Cyber Security Risk Management tech company that specialises in solutions for SME's, working on complex and interesting systems at the cutting edge of … from home policy with three days in the London office per week. About you: You are an experienced Data Engineer with a strong knowledge of Data Lakes, Data Warehousing, ETL/ELT processes and data pipeline orchestration You have strong Python and SQL coding skills You have experience with big data frameworks and tools including Spark You have a good … problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What's in it for you: As a Data Engineer (Python Spark ETL) you will earn a competitive salary plus benefits including: Salary to £90k Private Medical Healthcare including Dental and Vision cover Pension Share Option scheme Employee Wellness Programme Summer time hours More ❯

the role will include: Designs and develops data pipelines for the preparation, transformation and loading of data into the appropriate data storage systems, following standard medallion architecture principles. Oversee ETL (Extract, Transform, Load) operations to ensure data from various sources is accurately transformed and loaded Implement data quality check, validation rules, and profiling techniques to maintain high data integrity. Work More ❯

the role will include: Designs and develops data pipelines for the preparation, transformation and loading of data into the appropriate data storage systems, following standard medallion architecture principles. Oversee ETL (Extract, Transform, Load) operations to ensure data from various sources is accurately transformed and loaded Implement data quality check, validation rules, and profiling techniques to maintain high data integrity. Work More ❯

the role will include: Designs and develops data pipelines for the preparation, transformation and loading of data into the appropriate data storage systems, following standard medallion architecture principles. Oversee ETL (Extract, Transform, Load) operations to ensure data from various sources is accurately transformed and loaded Implement data quality check, validation rules, and profiling techniques to maintain high data integrity. Work More ❯

the role will include: Designs and develops data pipelines for the preparation, transformation and loading of data into the appropriate data storage systems, following standard medallion architecture principles. Oversee ETL (Extract, Transform, Load) operations to ensure data from various sources is accurately transformed and loaded Implement data quality check, validation rules, and profiling techniques to maintain high data integrity. Work More ❯

the role will include: Designs and develops data pipelines for the preparation, transformation and loading of data into the appropriate data storage systems, following standard medallion architecture principles. Oversee ETL (Extract, Transform, Load) operations to ensure data from various sources is accurately transformed and loaded Implement data quality check, validation rules, and profiling techniques to maintain high data integrity. Work More ❯

initiatives. What you will do Develop and maintain insightful and visually compelling reports and dashboards using Power BI to track KPIs and business trends. Lead the end-to-end ETL (Extract, Transform, Load) processes, ensuring data quality and consistency. Define and monitor KPIs to measure the effectiveness of ESA's initiatives and identify areas for improvement. Dive deep into ESA More ❯

database technologies along with complex integrations between our transactional systems and our core applications. This role will really suit you if you have a background in multiple database systems; extract, load and transform (ETL) solutions and have an ability to create normalised data sets for reporting with BI tools such as PowerBI. This role will be based in Ashby and More ❯

integration technologies (APIs, Linux, SQL) Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders Desirable Criteria Experience with Matillion products and competitive ETL solutions Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in More ❯

what will help you thrive in this role: 2–5 years in data engineering or a related field Strong PySpark and advanced SQL skills Practical experience building and maintaining ETL/ELT pipelines in Databricks Familiarity with CI/CD pipelines and version control practices Nice to have: Experience using Databricks Asset Bundles (DAB) Working knowledge of GCP and/ More ❯

and curiosity Experience with a scientific computing language (such as R or Python) Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow - from ideation and coding to analysis and communication We are More ❯

and curiosity Experience with a scientific computing language (such as R or Python) Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding to analysis and communication We are More ❯