20 of 20 dbt Jobs in Berkshire

understanding of cloud computing concepts and services (AWS preferably) Experience with Git or equivalent version control systems and CI/CD pipelines. Familiarity with dbt a plus Highly analytical with strong problem-solving skills: ability to apply solutions forward, not just completing the task at hand. Ability to investigate, analyze ...

Airflow, alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery. Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. Experience with one or more major cloud environments—Azure, GCP, or AWS—is also expected. In return for your skills ...

path to production Worked with AWS as a cloud platform Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala ...

working with sensitive corporate data. Industry Knowledge: Experience within the insurance industry is required. Technologies & Tools Snowflake Data Cloud and related technologies (e.g., Fivetran, DBT, Dataiku, Collibra preferred). Microsoft Azure, including Azure Synapse and Azure DevOps. Microsoft SQL Server tools, including Master Data Services, SSIS, SSAS, and SSRS. Programming ...

/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without ...

needed. Technology/Skills requirements SQL and another language e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About ...

Engineering (framework design, not just pipelines) DevOps MLOps/LLMOps Technologies you'll often work with: Cloud Platforms: Azure, AWS, GCP Data Tools: Airflow, dbt, Databricks, Snowflake Developer Tooling & CI/CD: GitHub, Azure DevOps, Terraform (or other Infrastructure-as-Code tools) MLOps/LLMOps Frameworks: MLflow, AzureML, LangSmith ...

dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience with analytics engineering tools (e.g. dbt). Strong understanding of ELT pipelines and data transformation best practices. Ability to operate effectively in fast-moving environments. Clear communicator, able to work with ...

operate effectively in a fast-paced, scaling organisation. Excellent communication skills and a collaborative approach. Desirable Skills Experience with analytics engineering tools (e.g., dbt, Airflow). Familiarity with experimentation frameworks and A/B testing platforms. Exposure to cloud-based data environments (e.g., Google Cloud Platform). Experience within digital ...

Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level ...

services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, DynamoDB) Skilled in AWS analytics tools (Glue, Athena, Redshift, EMR, Kinesis, MSK, QuickSight, dbt) Understanding of information security best practices Strong verbal and written communication in English and local language Ability to lead end-to-end technical engagements and work ...

Design APIs for frontend and external integrations. Balance speed and quality — building for the long term. The stack React • TypeScript • Node.js • Postgres • AWS • Redshift • DBT • Power BI • Jupiter Notebook You'll bring 8+ years of backend engineering experience in complex systems. Experience with data warehousing or distributed systems. Experience with ...

Design APIs for frontend and external integrations. Balance speed and quality — building for the long term. The stack React • TypeScript • Node.js • Postgres • AWS • Redshift • DBT • Power BI • Jupiter Notebook You'll bring 8+ years of backend engineering experience in complex systems. Experience with data warehousing or distributed systems. Experience with ...

Exceptional communication and data storytelling abilities to engage both technical and non-technical audiences. Familiarity with BI tools such as Looker or Tableau (bonus: dbt or modern data stack experience). Hera recruits with diversity and inclusion at its core and continues to embrace, champion and recognise the incredible assets ...

maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless … scalability and resilience. Sample Projects You Work On Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs ...

Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. Only candidates … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based) Duration ...

Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. Only candidates … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based) Duration ...

Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools ...

Customer Engineering role within a Data product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/CD (GitHub Actions, GitLab CI, CircleCI) You have ...

Python. Integrate data from APIs across Meta (Facebook & Instagram), TikTok, YouTube, Twitter/X, etc... Create and maintain models in dataform/DBT Required Skills & Experience Strong proficiency in Python for data processing and pipeline development. Solid experience with SQL, including writing efficient and scalable queries. Hands-on experience with … with cloud-based data tools and modern data ecosystems. Understanding of data modeling, warehousing concepts, and best practices Nice-to-Have Experience with Airflow, dbt, or similar orchestration/modeling tools. Experience with BI tools Knowledge of GCP services (Cloud Storage, Dataflow, Pub/Sub, etc.). Social media & content ...