5 of 5 Permanent ETL Jobs in Midlothian

members through technical guidance. Collaborate with stakeholders to deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test More ❯

Python Our backend services are implemented in C#/.NET or Typescript/NodeJS DynamoDB, Redshift, Postgres, Opensearch, and S3 are our go to data stores We run our ETL data pipelines using Python Equal Opportunities We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex More ❯

complex systems talk to each other. Youll thrive in a collaborative environment, enjoy working on diverse projects, and take pride in building solutions that make a difference. Experience with ETL/ELT tools , data lake or data mesh architectures , or automation for data integration would be a real plus. Additional Information: We will be reviewing and speaking to candidates on More ❯

as Logic Apps, Function Apps, Service Bus, Event Grid, Event Hub, and API Management. Experience with RESTful APIs, JSON, and integration patterns (eg, pub/sub, request/response, ETL). Understanding of DevOps practices and tools (Azure DevOps, GitHub, CI/CD). Knowledge of security and identity management in Azure (eg, OAuth2, Managed Identities, RBAC). Understanding of More ❯

instrumental in designing and maintaining robust data pipelines, leveraging modern tools and cloud platforms to support analytics, data science, and operational needs. If you have substantial experience with Spark, ETL, SQL, and programming languages such as Python, Java, or Scala, and are looking to take your career to the next level in Scotland's thriving technology scene, this role is … across various teams. Candidate Profile: At least 8 years of experience in data engineering or related fields, with a focus on scalable data systems and platforms. Proficiency in Spark, ETL/ELT processes, SQL, and cloud-native services (AWS, GCP, or Azure). Hands-on experience with data frameworks such as Databricks, Airflow, Kafka, and modern data modelling techniques. Strong More ❯