1 to 25 of 101 dbt Jobs in the South East

engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology More ❯

engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology More ❯

engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology More ❯

While in this position your duties may include but are not limited to: Support the design, development, and maintenance of scalable data pipelines using tools such as Apache Airflow, dbt, or Azure Data Factory. Learn how to ingest, transform, and load data from a variety of sources, including APIs, databases, and flat files. Assist in the setup and optimisation of More ❯

lakes or Lakehouse's Excellent communication skills with the ability to explain complex technical concepts clearly and persuasively Desirable Skills for the Senior Data Engineer: Experience with event sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model More ❯

office once a week . Requirements: Proven experience as an Analytics Engineer or in a similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and More ❯

Proven track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS or GCP), including IAM, S3, ECS, RDS, or equivalent services. Experience More ❯

and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯

and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯

and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯

testing, CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience More ❯

SQL skills. Background in building and maintaining ETL/ELT pipelines in a cloud environment (AWS or Azure). Knowledge of data warehousing (e.g., Redshift, Postgres) and tools like DBT . Familiarity with CI/CD , data modelling, and Agile practices. Comfortable collaborating with Data Scientists and translating business needs into technical solutions. Experience leading or mentoring other engineers. Benefits More ❯

in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles , DevOps, and infrastructure automation. Excellent communication skills - able to collaborate across More ❯

development and 20-30% on leadership and communication, ensuring all key builds and improvements flow through this individual. Working with a modern tech stack including AWS, Snowflake, Python, SQL, DBT, Airflow, Spark, Kafka, and Terraform, you'll drive automation and end-to-end data solutions that power meaningful insights. Ideal for ambitious, proactive talent from scale-up or start-up More ❯

individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML More ❯

Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in a consultancy or product business. Why Join? Work with cutting-edge data and AI technology. Collaborate with passionate, high-performing More ❯

Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in a consultancy or product business. Why Join? Work with cutting-edge data and AI technology. Collaborate with passionate, high-performing More ❯

Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in a consultancy or product business. Why Join? Work with cutting-edge data and AI technology. Collaborate with passionate, high-performing More ❯

e.g. Databricks, Azure, AWS or GCP native stacks) Experience with platform observability and CI/CD for data platforms Hands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or Airflow History of supporting pre-sales activities in a product or consultancy-based business What Kubrick offers: A fast moving and fast growth business which is doing More ❯

e.g. Databricks, Azure, AWS or GCP native stacks) Experience with platform observability and CI/CD for data platforms Hands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or Airflow History of supporting pre-sales activities in a product or consultancy-based business What Kubrick offers: A fast moving and fast growth business which is doing More ❯

e.g. Databricks, Azure, AWS or GCP native stacks) Experience with platform observability and CI/CD for data platforms Hands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or Airflow History of supporting pre-sales activities in a product or consultancy-based business What Kubrick offers: A fast moving and fast growth business which is doing More ❯

and in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how you More ❯

or Dagster. Solid understanding of data warehousing, data ops, and cloud-based infrastructure. Comfortable owning end-to-end workflows, with strong problem-solving and communication skills. Experience working with dbt as an ELT Why Join? Work in a modern data environment with a high degree of autonomy and ownership. Collaborate with a passionate, fast-moving team tackling complex data challenges. More ❯

or Dagster. Solid understanding of data warehousing, data ops, and cloud-based infrastructure. Comfortable owning end-to-end workflows, with strong problem-solving and communication skills. Experience working with dbt as an ELT Why Join? Work in a modern data environment with a high degree of autonomy and ownership. Collaborate with a passionate, fast-moving team tackling complex data challenges. More ❯

or Dagster. Solid understanding of data warehousing, data ops, and cloud-based infrastructure. Comfortable owning end-to-end workflows, with strong problem-solving and communication skills. Experience working with dbt as an ELT Why Join? Work in a modern data environment with a high degree of autonomy and ownership. Collaborate with a passionate, fast-moving team tackling complex data challenges. More ❯