76 to 100 of 361 Permanent dbt Jobs

understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Qualifications: Experience working in agile or cross-functional More ❯

for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of More ❯

low latency data pipeline with the following skills. Data Engineering Skills Modelling Orchestration using Apache Airflow Cloud native streaming pipelines using Flink, Beam etc. DBT Snowflake Infrastructure Skills Terraform Devops Skills Experienced in developing CI/CD pipelines Integration Skills REST and Graph APIs (Desirable) Serverless API development ( e.g. Lambda More ❯

robust data pipelines in Azure Data Factory, Azure Synapse Analytics, Azure Databricks. - Strong experience in software engineering fundamentals including testing (e.g. Azure Test Plans, dbt), Git version control, agile development and sharing knowledge via code review, mentoring and documentation (e.g. Confluence, DevOps wiki). - Experience with Medallion Architecture for data More ❯

Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment About Us We are Citation. We are far from your average service provider. Our colleagues bring More ❯

skills for building and optimising data pipelines Experience working with cloud platforms (e.g., AWS, GCP, or Azure) Familiarity with modern data stack tools (e.g., dbt, Airflow, Snowflake, Redshift, or BigQuery) Understanding of data modelling and warehousing principles Experience working with large datasets and distributed systems What's in it for More ❯

databases (Structured, non-relational, Graph etc.) CI/CD experience Python or Java experience is preferred GIS experience is desirable. ETL experience (Ideally with DBT, but not a hard requirement) Benefits ? Hybrid working – 2 days per week on site. Up to £65,000 Private Medical 4x DIS 5% employer pension More ❯

Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master’s or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options More ❯

analytics, and reporting Collaborate with global teams to enhance data accessibility & structure Guide data engineers in SQL, Python (pandas, PySpark) and DevOps (Azure DevOps, dbt, Coalesce) Core skills/experience 6+ years in data engineering, data architecture, or data product ownership Expertise in AWS, Informatica, Oracle, Snowflake & SQL Experience in More ❯

Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master's or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options More ❯

or management experience in a technical role, with responsibility for people and projects Hands-on expertise in Python and SQL; experience with Spark and DBT is a plus Familiarity with AWS services such as Lambda, S3, Redshift, and Glue; Databricks experience is advantageous Experience designing and implementing scalable data platforms More ❯

related field Familiarity with BI tools such as Looker for reporting and dashboarding Exposure to other environments such as Databricks, Snowflake, AWS, Azure, or DBT Understanding of observability, monitoring, and logging in GCP GCP Professional Data Engineer certification (or similar) What’s on Offer Competitive salary of £80,000 + More ❯

related field Familiarity with BI tools such as Looker for reporting and dashboarding Exposure to other environments such as Databricks, Snowflake, AWS, Azure, or DBT Understanding of observability, monitoring, and logging in GCP GCP Professional Data Engineer certification (or similar) What’s on Offer Competitive salary of £80,000 + More ❯

essential for this role. Experience in cloud platforms (GCP - BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so advanced experience in these will not be More ❯

essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so advanced experience in these will not be More ❯

environments. Excellent communication skills and ability to interact with technical and non-technical stakeholders. Nice to have would be: Familiarity with modern data tools (dbt, Airflow, Kafka, etc.). Knowledge of monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, CloudWatch). Certifications in relevant cloud technologies (AWS, Azure, GCP). More ❯

Experience with at least one BI/visualisation tool (e.g. Looker/Power BI/Tableau etc.) Knowledge of ETL/ELT tools (e.g. dbt/Fivetran etc.) An understanding of Data Governance principles, and the importance of maintaining data quality and providing accurate data and sound insights. An agile More ❯

. AWS based capacity management, performance logging and monitoring solutions. AWS cost management. Your Profile: Essential skills/knowledge/experience: Experience in Snowflake, DBT, Glue, Airflow. Proficiency in architecture and building solutions to support highly available and scalable web sites, batch processes, services and API’s. Understanding of IAM More ❯

. AWS based capacity management, performance logging and monitoring solutions. AWS cost management. Your Profile: Essential skills/knowledge/experience: Experience in Snowflake, DBT, Glue, Airflow. Proficiency in architecture and building solutions to support highly available and scalable web sites, batch processes, services and API’s. Understanding of IAM More ❯

field. 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding More ❯

field. 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding More ❯

and performance Techstack: Python (for scripting and data wrangling) SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

PowerShell) 3+ years of experience with data quality management and issue resolution 2+ years of experience with cloud DW/ETL solutions (e.g., Snowflake, DBT) Experience in Agile delivery environments Strong understanding of cloud concepts and data platform infrastructure Experience with automation, testing and monitoring of data platforms Proven problem More ❯

data transformation pipelines. The main tech for this role includes: ✅SQL (heavy focus) ✅Relational Databases (e.g., PostgreSQL) ✅Python (lighter focus) ✅Experience/understanding of DBT-led transformation pipelines ✅They use AWS but are open to any cloud experience. In this role, you'll join a team of Data Engineers but More ❯

data transformation pipelines. The main tech for this role includes: ✅SQL (heavy focus) ✅Relational Databases (e.g., PostgreSQL) ✅Python (lighter focus) ✅Experience/understanding of DBT-led transformation pipelines ✅They use AWS but are open to any cloud experience. In this role, you'll join a team of Data Engineers but More ❯