351 to 375 of 1,112 Remote ETL Jobs

gaming sector are searching for a Senior Data Engineer to join one of their growing teams in London on a hybrid basis. Role & Responsibilities: Design, implement, and maintain robust ETL pipelines to integrate data from diverse sources, including APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools … SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. Familiarity with data visualization and reporting tools like Tableau. Exceptional analytical skills and a strategic mindset. Strong knowledge of data security, governance, and compliance More ❯

Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service: Create … The Ideal Candidate We're looking for a curious, organised, and outcome-driven professional with a passion for data and collaboration. You should bring: Technical Expertise: Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik Data Modelling Skills: Strong knowledge of dimensional modelling and database principles Governance Experience More ❯

Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service: Create … The Ideal Candidate We're looking for a curious, organised, and outcome-driven professional with a passion for data and collaboration. You should bring: Technical Expertise: Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik Data Modelling Skills: Strong knowledge of dimensional modelling and database principles Governance Experience More ❯

years in a management or technical leadership position Proven hands-on experience with Databricks , with broader exposure to platforms such as Hadoop or Spark Strong understanding of data processing, ETL pipelines, and warehousing principles Experience with cloud services (AWS or Azure preferred) Excellent leadership, stakeholder engagement, and communication skills Ability to define technical roadmaps and influence architecture decisions Databricks certification … is a plus Skills and Competencies: Databricks and Spark ecosystem Data platform strategy and governance ETL and data warehousing AWS or Azure cloud platforms Agile delivery and team management Problem-solving and analytical mindset Why Join Us: Salary up to £70,000 + 10% bonus Hybrid working from Leeds Opportunity to lead from the start and shape our data platform More ❯

complex SQL queries, views, and stored procedures within Snowflake, including the development of Python-based procedures for advanced data transformation and automation. Key responsibilities include designing and maintaining efficient ETL/ELT pipelines using modern data integration tools, ensuring high data quality, consistency, and performance across environments. You will build and manage Power BI datasets, data models, and semantic layers … Maintaining comprehensive technical documentation for data processes, pipelines, models, and reporting assets is also a critical part of this position. DATA ENGINEER – ESSENTIAL SKILLS Strong experience in data modeling, ETL, and Snowflake. Experience with Azure Data Factory and related Azure services. SQL PowerBI Excellent communication TO BE CONSIDERED... Please either apply by clicking online or emailing me directly chelsea.hackett@searchability.com … for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Snowflake, Azure Data Factory, PowerBI, SQL, ETL More ❯

our cloud-native data platform * Perform data modelling to support accurate and scalable reporting * Assist in managing the Power BI environment, including DAX development and workspace administration * Contribute to ETL processes and data transformation workflows within the Azure Data Platform * Support the future transition to Google Cloud Platform (GCP) and tools like Looker, gaining exposure to modern data technologies Essential … SQL for data extraction and transformation * Hands-on experience with Azure technologies (Data Lake, Data Factory, Synapse, etc.) * Data modelling experience (star/snowflake schemas, normalization, etc.) * Familiarity with ETL processes and working alongside Data Engineers * Excellent communication and stakeholder management skills * Insurance industry experience (ideally Reinsurance) Desirable Experience: * Exposure to Google Cloud Platform (GCP) and tools like Looker, Domo More ❯

within Power BI. Collaborate closely with business users and stakeholders to gather reporting requirements, translating them into intuitive and impactful Power BI solutions. Oversee data preparation and transformation processes (ETL) to ensure clean, structured data for reporting. Work within an Azure-based data environment to integrate data sources and optimise Power BI performance. Provide guidance and training to internal users … modelling best practices, and Power BI service features (e.g., workspaces, dataflows, gateways). Experience working in an Azure reporting environment and with modern data warehouses. Hands-on experience with ETL processes and tools (e.g. SQL-based transformations or tools like Alteryx-desirable but not essential). Strong SQL skills and experience in relational database management. Ability to work closely with More ❯

approach to identifying opportunities for our clients. Essential Skills & Experience: 5+ years of experience with Microsoft data technologies. Strong expertise in SQL Server Integration Services, SQL, Data Warehousing, and ETL/ELT processes. Proficiency in Python, Power BI, Hadoop, and Spark for data processing and analytics. Strong stakeholder management and communication skills. Why Join? Hybrid working with a requirement to More ❯

join an established and collaborative team working in a fast paced, team orientated environment. Job Role and Responsibilities ·Assist in the design, development, and maintenance of data pipelines and ETL processes ·Collaborate with data scientists, analysts, and other stakeholders to ensure accurate data collection and delivery ·Monitor and troubleshoot data systems, addressing issues promptly to minimise downtime ·Support the implementation … knowledge of containers such as Docker and Kubernetes is advantageous ·Familiarity with at least one programming language (e.g. Python, Java, or Scala) ·Proven experience of data warehousing concepts and ETL processes ·Strong analytical skills and attention to detail ·Excellent verbal and written communication skills in English is essential ·Airline experience is advantageous If you are interested in this exciting new More ❯

a strong background in handling large-scale data environments and a passion for creating scalable, efficient data solutions. Key Responsibilities: Manage and maintain day to day data operations, including ETL workflows, scheduled data loads, and data pipeline monitoring. Develop and optimise data pipelines for integrating structured and unstructured data from various internal and external sources. Leverage big data technologies such More ❯

a strong background in handling large-scale data environments and a passion for creating scalable, efficient data solutions. Key Responsibilities: Manage and maintain day to day data operations, including ETL workflows, scheduled data loads, and data pipeline monitoring. Develop and optimise data pipelines for integrating structured and unstructured data from various internal and external sources. Leverage big data technologies such 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 ❯

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 More ❯

Data Engineer - Non-Profit/Health Charity - Cambridge (Tech Stack: Data Engineer, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Our client, a health-focused non-profit based in Cambridge, is seeking a Lead Data Engineer with deep AWS expertise to help shape their cloud data infrastructure. This role is ideal for someone passionate about using data More ❯

data warehouses and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows More ❯

don't miss your chance to secure a role working with cutting edge technology while maintaining exceptional work-life balance. Contact me @ or on . Data Engineer, Snowflake, Cloud, ETL, Analytics, SQL, Python, AWS, Terraform, DevOps, end-to,end 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 ❯

to secure a role working with cutting edge technology while maintaining exceptional work-life balance. Contact me @ (url removed) or on (phone number removed). Data Engineer, Snowflake, Cloud, ETL, Analytics, SQL, Python, AWS, Terraform, DevOps, end-to,end More ❯

to effective, innovative solutions. Analyse and report on test activities, supporting colleagues and stakeholders with data insights. Design and implement a data streaming service, including new data models and ETL processes. Ensure successful data delivery to teams such as CSOC Engineering, Cyber Detection & Response, Threat Operations, and Service Management, including troubleshooting. Build and test complex or large-scale data products … data analysis, solution design, and reporting with a focus on actionable insights Automating IT processes using tools like Git and modern programming practices Building and managing data pipelines using ETL tools, orchestration platforms, and languages such as SPL, KQL, and Python in environments like Splunk, AWS, and Azure Developing scalable data engineering solutions using open-source and modern programming languages More ❯

Power BI. Collaboration within the data team to understand requirements and design and build models that support business requirements Support the data team through data extraction, transformation, and loading (ETL) to provide efficient data access solutions. Monitor and troubleshoot data models, identifying and resolving any performance issues and proactively working on measures to maintain data availability and reliability. What do More ❯

in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd line) Collaborate with business partners, data scientists, and report More ❯

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 More ❯

hands-on development (C# and/or Python) Strong background in hedge fund, asset management , or financial markets Solid DevOps skills: CI/CD, containerisation, source control (e.g. Git) ETL experience with financial data (including tick data) SQL and database systems knowledge Familiarity with cloud (Azure ideal, others acceptable) Excellent communication skills - confident with stakeholders and leadership What You'll More ❯

normalisation, and data modelling principles Hands-on experience with SQL query writing, database performance optimisation, and data analysis Proven track record of conducting complex systems impact assessments Experience with ETL processes, data warehousing concepts, and reporting system design Knowledge of database platforms (SQL Server, Oracle, MySQLPostgreSQL, or similar) and ideally warehouse solutions (Snowflake) Experience working with data transformation tools, including 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 ❯