Nottingham, England, United Kingdom Hybrid / WFH Options
Akkodis
Data Engineer (AI-Driven SaaS Platform) Technologies: Python, Snowflake, Data Modelling, ETL/ELT, ApacheAirflow, Kafka, AWS Environment: Large-scale data environment, Fully remote UK, Microservices architecture About the Role Are you a Data Engineering enthusiast who thrives on designing and implementing robust ETL processes, highly scalable … migrations, and experience with data warehousing concepts. Technical Skills Deep understanding of SQL and NoSQL databases (MongoDB or similar) Experience with streaming platforms like Apache Kafka Development and maintenance of ELT pipelines Knowledge of data warehousing best practices High proficiency in Apache Kafka and ApacheAirflowMore ❯
Nottingham, Nottinghamshire, United Kingdom Hybrid / WFH Options
Akkodis
Data Engineer (AI-Driven SaaS plaform) (Python, Snowflake, Data Modelling, ETL/ELT, ApacheAirflow, Kafka, AWS) Large-scale data environment Up to £70,000 plus benefits FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data … and you'll need a deep understanding of SQL and NoSQL databases (MongoDB or similar!) You'll also have experience with streaming platforms like Apache Kafka and be able to develop and maintain ELT and essentially bring a solid understanding of data warehousing concepts and best practice. You will … understanding Apache Kafka to a high standard and have solid knowledge of ApacheAirflow - from a Cloud perspective, you will be an AWS enthuiast! Naturally you will have good understanding on AWS. I'd love you to be an advocate of Agile too - these guys are massive More ❯
e.g., PostgreSQL, MySQL). Experience with cloud platforms (e.g., AWS, Azure, or GCP). Hands-on experience in building data pipelines using tools like ApacheAirflow, Spark, or similar. Familiarity with data warehousing concepts and technologies (e.g., Snowflake, BigQuery, Redshift). Excellent problem-solving and communication skills. Nice More ❯
software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., ApacheAirflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯
software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., ApacheAirflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯
software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., ApacheAirflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯
software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., ApacheAirflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯
software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., ApacheAirflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯
software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., ApacheAirflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯
security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and … engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product More ❯
security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and … engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product More ❯
