151 to 175 of 1,112 Remote ETL Jobs

knowledge of Microsoft Fabric, Azure Data Factory, Power BI, and related Azure tools Strong proficiency in SQL, Spark SQL, and Python for data processing and automation Solid understanding of ETL/ELT workflows, data modelling, and structuring datasets for analytics Experience working with large, complex datasets and APIs across formats (CSV, JSON, Parquet, etc) Familiarity with workflow automation tools (eg More ❯

skills and demonstrate the ability to work on multiple tasks at the same time through to resolution. Demonstrate excellent technical skills across multiple technologies including replication tools, ELT/ETL, data reconciliation and Visualisation tooling. Fostering a culture of collaboration with all Data & Analytics engineering teams, to embed consistent ways of working and improvements, through facilitating internal working groups and More ❯

a data-intensive environment. Proven experience building and maintaining data pipelines and APIs. Strong background in database management, including both SQL/NoSQL databases. Experience designing, implementing, and optimizing ETL/ELT processes for high-volume data environments (millions of requests per day). Demonstrated expertise in data modeling and schema design for both operational and analytical systems. Experience with More ❯

About this role We are seeking a skilled Data Engineer - Data Lakehouse to join our team. The ideal candidate should be experienced in designing and building data pipelines, performing ETL operations, and managing databases. The candidate will also need to have knowledge and experience in using AWS services for data processing, storage, and analysis. Responsibilities Design, build and maintain efficient … and scalable data pipelines to support data processing and analysis. Develop and implement ETL processes to ensure data quality and integrity. Manage and optimize databases, including designing schema and indexing strategies, data partitioning and data archival. Work closely with data scientists and business analysts to understand data requirements and translate them into technical solutions. Collaborate with DevOps and IT teams … technologies, tools and practices. Qualifications Bachelor's degree in computer science, engineering or related field. Minimum of 3 years of experience in data engineering roles. Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with More ❯

We are looking for a Data Engineer, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI, with a strong focus on building semantic models and supporting analytics. Please only apply if you are confident with the above. This is a Remote role with a few in-person … offering flexibility and scalability. We collaborate closely with clients to achieve their desired results, covering Retail, Out of Home, E-Commerce, and Field Sales. Key Responsibilities: Design and optimize ETL pipelines in Snowflake and Azure Data Factory to streamline data integration and transformation. Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics … operations. Collaborate with analytics and business teams to align data models with reporting needs and business goals. Qualifications: Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake. Proficiency in Snowflake for data warehousing, including semantic modelling and Python-based stored procedures. Experience with Azure Data Factory and related Azure services. Hands-on experience with Power More ❯

With major transformation initiatives underway, this is an opportunity to have impact from day one while helping shape the future of reporting and analytics. Key Responsibilities: Maintain and extend ETL pipelines and support the firm’s data warehouse infrastructure. Work closely with business teams to understand data and reporting needs. Develop and enhance Power BI dashboards and reporting solutions. Assist … Power Query CI/CD tooling What We’re Looking For: A hands-on data engineer or BI engineer with solid SQL skills and experience in building or maintaining ETL processes. Someone who thrives in a fast-paced, high-accountability environment with direct access to stakeholders. Experience working in a financial, regulated, or data-critical environment preferred — though not essential. More ❯

a Data Warehouse Engineer , you will have the following responsibilities: Design, develop, and maintain scalable data warehouse architecture and solutions to consolidate data from multiple sources. Build and optimize ETL pipelines using modern tools, automation and best practices. Develop and maintain dashboards, visualizations, and reports using Power BI. Collaborate with business stakeholders to gather requirements, translate them into data solutions … contribute to the continuous improvement of data architecture and standards. THE CANDIDATE The ideal Data Warehouse Engineer will possess the following skills: 2+ years of experience in data warehousing, ETL development, and business intelligence reporting. Strong experience with Power BI, including DAX, Power Query, and dashboard development. Proficiency in SQL and data modelling techniques. Strong analytical and problem-solving skills More ❯

data products using technologies like Snowflake, Power BI, Python, and SQL. Your work will enable self-service analytics and support data governance across the business. Key Responsibilities: Develop robust ETL/ELT pipelines and dimensional models for BI tools Define and implement data quality, ownership, and security standards Empower business teams with intuitive, self-serve data models Own data products More ❯

client-facing environments. Responsibilities typically include: Translating business requirements into technical solutions and specifications Designing and implementing business intelligence and modern data analytics platforms Data architecture design and implementation ETL, data integration, and migration design and implementation Master data management system and process design and implementation Data quality system and process design and implementation Focus on data science, visualization, AI … design, and deployment Experience with business intelligence tools, data modeling, staging, extraction, data warehouse, and cloud infrastructure Knowledge of multi-dimensional design, star schemas, facts, and dimensions Proficiency in ETL development techniques Experience optimizing data warehouse performance Experience across various industry sectors is a plus Understanding of data management best practices, including profiling, sourcing, and cleansing routines with data quality More ❯

the way we provide our customer experience Joining Cushon, you’ll help our customers get comfortable with their finances, and support our vision, being responsible for backend data modelling, ETL, and regulatory reporting We are looking to pay a salary in the region of £45,000 -£52,500 What you'll do In this key role, you’ll contribute to … Intelligence, Data Engineering and Data Science teams to work together closely. You’ll also be: Designing and documenting our core data models, and implementing them through efficient SQL-based ETL workflows that deliver clean, high-quality data into our data lake Working with business stakeholders to understand and refine management information, operational reporting and regulatory reporting needs and deliver them … dashboards Maintaining our collection of dashboards that tell insightful stories about our data The skills you'll need We’re on the lookout for someone with experience in building ETL workflows using AWS Glue or equivalent data lake or data warehouse products and services. You'll have strong analytical skills and an understanding of pension and savings products. Knowledge of More ❯

Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products Champion best practices in testing, CI/CD, version control, and infrastructure More ❯

Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products Champion best practices in testing, CI/CD, version control, and infrastructure More ❯

Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products Champion best practices in testing, CI/CD, version control, and infrastructure More ❯

JATO is seeking a Data Engineer to enhance our dynamic teams. In this role, you will be part of a product delivery team, applying your expertise in data analysis, ETL, and cloud technologies to identify, model, manage, and store large-scale data in the cloud. In addition to a competitive salary and benefits, JATO offers an open work culture, a … challenges Able to migrate data from legacy databases and storage to Azure cloud-based lake and warehouse Key Requirements Essential Skills - Minimum 3+ years’ experience designing and developing complex ETL/ELT pipelines in the cloud (Azure Data Factory or Azure Synapse) - Experience of preparing data maps based on high level requirements and taking those to a solution level details More ❯

conveying complex ideas to both technical and non-technical stakeholders. • Deep understanding of DataLake, Lakehouse, and Warehouse paradigms. • Extensive experience in developing and maintaining data pipelines for ELT/ETL from various data sources, including databases, APIs, text files, and Parquet. • Expert knowledge of the Microsoft Fabric Analytics Platform (Azure SQL, Synapse, PowerBI). • Proficient in Python for data engineering More ❯

using industry level best practices.Reporting to the Platform and Engineering Manager, the candidate will be required to design and manage data warehousing solutions, including the development of data models, ETL processes and data integration pipelines for efficient data consolidation, storage and retrieval, providing technical guidance and upskilling for the team, and conducting monitoring and optimisation activities. If you’re a … winning employer, apply to join #TeamAldi today! Your New Role: Project Management of demands and initiatives Lead the design and implementation of data warehousing Design and develop data models, ETL processes and data integration pipelines Complete Data Engineering end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You More ❯

cost-effective services. Responsibilities Define Physical Data Models and input into their development. Design and deliver data mapping rules detailing the transformation from source to target. Develop and build ETL routines using Azure Data Factory, Azure Synapse, and Databricks. Conduct code reviews of colleagues' ETL routines. Engage with clients to gather requirements and deliver the data management solution. Estimate the More ❯

a senior capacity. Strong hands-on experience with the Azure data ecosystem (ADF, Synapse, SQL, etc.). Proficiency in Microsoft technologies including Power BI. Solid understanding of data modelling, ETL/ELT pipelines, and cloud data storage. Strong communication and stakeholder engagement skills - ability to turn data into business strategy. Desirable: Background in a commercial, customer-centric, or high-growth More ❯

Responsibilities Assessing your clients' technical needs and understanding how their needs are different to wants and managing clients' stakeholders relationship appropriately Identifying data sources, data extraction, transformation, and loading (ETL/ELT) concepts and methods Designing, evaluating, and implementing on-premise, cloud-based and hybrid data engineering solutions (including providing review and guidance on testing aspects related to data engineering … in client delivery across a range of projects, including data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks into More ❯

successful candidate will: Support the development and execution of a quality assurance strategy for data engineering and platform engineering pipelines . Develop and execute test cases for data pipelines, ETL/ELT workflows, and data transformations . Assist in building and maintaining automated data validation and pipeline testing frameworks . Validate infrastructure and platform-level components , including CI/CD … performance testing in a data environment. Requirements Candidates should have: 3+ years of experience in data quality engineering, software testing, or test automation . Familiarity with testing data pipelines, ETL/ELT workflows, and big data solutions . Experience with cloud-based data platforms , preferably Azure Databricks, Azure Data Factory, or Synapse Analytics . Basic experience with test automation frameworks More ❯

their data and AI evolution. This role is an opportunity to lead the build of bespoke data systems for our clients. Responsibilities Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables. Lead technical discussions with clients and stakeholders to gather requirements and propose solutions. Help clients realise the potential of data More ❯

Role We're seeking a motivated and detail orientated Data Engineer with experience in building and managing scalable data pipelines and infrastructure. You'll be responsible for developing robust ETL/ELT processes, optimising and maintaining data warehouse, and ensuring data quality and standards through comprehensive monitoring and governance. Collaborating closely with our Data, Tech and Product teams, you'll … data infrastructure into streamlined, reliable, and actionable assets. Responsibilities: Own Data Infrastructure : Design, develop, and maintain scalable data pipelines and infrastructure to enable reliable analytics and data-driven decisions. ETL/ELT Development : Build, optimise, and manage ETL processes in BigQuery and associated tools to ensure timely and accurate data ingestion. Data Warehousing : Maintain and evolve our BigQuery data warehouse … re looking for: Experience : Practical production experience building, optimising and maintaining data pipelines and warehouses, using BigQuery or similar cloud data solutions. Technical Skills : Strong proficiency in SQL and ETL/ELT frameworks and experience with data modelling, optimisation, and pipeline orchestration. Python or similar programming language is a nice to have! Cloud Proficiency : Experience working with cloud platforms such More ❯

preferably Microsoft Azure and Data Bricks, however, we’re also open to applications from candidates with experience from other cloud providers like AWS or GCP. Strong technical experience with ETL techniques, programming languages and data engineering tools such as SQL, Python, R and Apache is fundamental for the role, as is good knowledge of data integration and data quality management … preferably Microsoft Azure and Data Bricks, however, we’re also open to applications from candidates with experience from other cloud providers like AWS or GCP. Strong technical experience with ETL techniques, programming languages and data engineering tools such as SQL, Python, R and Apache is fundamental for the role, as is good knowledge of data integration and data quality management More ❯

experience in data engineering roles Strong knowledge of SQL Python programming Designing data models to serve analytics Version control and CI/CD experience A thorough understanding of modern ETL/ELT practises, frameworks, tooling, and execution environments Building and optimizing data pipelines, architectures and data sets. Strong analytical and problem-solving abilities Working in a fast-paced environment using … experience in data engineering roles Strong knowledge of SQL Python programming Designing data models to serve analytics Version control and CI/CD experience A thorough understanding of modern ETL/ELT practises, frameworks, tooling, and execution environments Building and optimizing data pipelines, architectures and data sets. Strong analytical and problem-solving abilities Working in a fast-paced environment using More ❯

pipelines, and optimisation of Power BI-based analytics solutions. Key Responsibilities: Lead the management and development of the organisation's Modern Data Platform (Azure-based) Build and maintain robust ETL/ELT pipelines , data models, and reporting marts Develop Power BI dashboards and implement best practice modelling and workspace governance Integrate data from internal departments and external agencies to support More ❯