1 to 25 of 78 Remote Permanent dbt Jobs

teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive More ❯

teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive More ❯

to know it today but to learn from the team as it makes up a large part of the stack). Good knowledge of Data Engineering tooling such as dbt or Spark. CDC tools like Debezium are a bonus. Build data systems with a software and infrastructure engineer mindset, including tested, scalable, resilient, fault tolerant, observable and "as code" practices. More ❯

DLT Proficient in CI/CD pipelines, automated testing, code quality enforcement, and environment management for production-grade data systems Expert in orchestration and transformation frameworks such as Airflow, dbt, and Dagster, along with cloud-native platforms like Databricks Financial services or FinTech industry experience Knowledge and Skills: Operates with full autonomy on large-scale, complex data projects. Go to More ❯

experience is a bonus. Knowledge of data modeling (3NF, star schema, Data Vault). Experience with Python, TypeScript, or Java (Java learning expected). Familiarity with data tools like dbt or Spark; CDC tools like Debezium are a bonus. Build resilient, scalable, and observable data systems. Understanding of DevOps, Infrastructure as Code, CI/CD practices. Desirable skills Experience handling More ❯

modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools (Airflow, dbt, Prefect, or similar). Benefits: Unlimited holiday Annual Wellbeing Allowance Flexible work culture Monthly socials and events Complimentary snack bar Employer pension contribution If you're a data enthusiast ready More ❯

modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools (Airflow, dbt, Prefect, or similar). Benefits: Unlimited holiday Annual Wellbeing Allowance Flexible work culture Monthly socials and events Complimentary snack bar Employer pension contribution If you're a data enthusiast ready More ❯

Alerting: Prometheus, Datadog, Pagerduty Telemetry Standards: OpenTelemetry Application & Data Ecosystem (Supporting): Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React Data Streaming: Apache Kafka Data Processing/Transformation: Pandas, DBT Workflow Orchestration: Apache Airflow, Ray Machine Learning Stack: Serving: Triton Inference Server MLOps/Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks: Transformers, HuggingFace Model Optimization/Formats: Onnx More ❯

Stack Cloud: Azure, sometimes GCP & AWS Data Platform: Databricks, Snowflake, BigQuery Data Engineering tools: Pyspark, Polars, DuckDB, Malloy, SQL Infrastructure-as-code: Terraform, Pulumi Data Management and Orchestration: Airflow, dbt Databases and Data Warehouses: SQL Server, PostgreSQL, MongoDB, Qdrant, Pinecone GenAI: OpenAI APIs, HuggingFace, LangChain, Talk-to-data Monitoring: Datadog About You We are looking for someone who can wear More ❯

Strong proficiency in SQL, Python, and data modeling for analytical and operational use cases Hands-on experience with production-grade ETL/ELT frameworks and workflow orchestration (e.g., Airflow, dbt, Talend, AWS Glue, GCP Dataform/Cloud Composer) Proven ability to design, deploy, and optimize data warehouses and lakehouse architectures using technologies like BigQuery, Redshift, Snowflake, and Databricks Experience with More ❯

cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Here’s a taste of the perks we roll out for our extraordinary team members: 25 Days of Holiday, plus More ❯

cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Here’s a taste of the perks we roll out for our extraordinary team members: 25 Days of Holiday, plus More ❯

a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. Experience with data workflow orchestration tools such as Airflow, dbt , or similar. Solid understanding of data modeling, data quality, and data governance concepts. Familiarity with CI/CD pipelines and infrastructure as code (e.g., Terraform or CloudFormation) is a plus. More ❯

a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. Experience with data workflow orchestration tools such as Airflow, dbt , or similar. Solid understanding of data modeling, data quality, and data governance concepts. Familiarity with CI/CD pipelines and infrastructure as code (e.g., Terraform or CloudFormation) is a plus. More ❯

a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. Experience with data workflow orchestration tools such as Airflow, dbt , or similar. Solid understanding of data modeling, data quality, and data governance concepts. Familiarity with CI/CD pipelines and infrastructure as code (e.g., Terraform or CloudFormation) is a plus. More ❯

You Bring: - 5+ years of software engineering experience (backend, API, or full-stack) - Python, Java, or C# expertise - Experience with REST APIs (FastAPI, AWS Lambda), OpenAPI, and data pipelines (dbt, Airflow, Spark, Iceberg) - Knowledge of FHIR, OMOP, HL7, CDA, and federal compliance frameworks Bonus Experience: - DHA, VA, or federal healthcare IT programs - OCR/NLP/AI-ML workflows - AWS More ❯

team members to deliver outcome Highly motivated, with strong problem-solving skills and business acumen Desirable Skills Experience with data visualization tools (e.g., Looker, Tableau, Power BI) Familiarity with dbt, Airflow, or other modern data tools Exposure to marketing or e-commerce industries Additional Information Publicis Groupe operates a hybrid working pattern with full time employees being office-based three More ❯

goals Desirable Skills Background in e-commerce, marketing, or operations analytics Experience with data visualization tools (e.g., Looker, Tableau, Power BI) Familiarity with modern data stack tools such as dbt, Airflow, and Git-based workflows Experience contributing to data product development, working closely with engineers and product managers Additional Information Publicis Groupe operates a hybrid working pattern with full time More ❯

Data Platform Engineer, you will support the design, implementation, and management of a decentralised data architecture based on Data Mesh principles. You will work with technologies such as Snowflake, dbt, Microsoft Azure, and Microsoft Fabric to build scalable, secure, and high-performing platform capabilities. Your work will empower domain teams to autonomously own, access, and manage their data via self More ❯

in data engineering, warehousing, or platform leadership. Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred). Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform , and modern data architecture. Strong leadership and stakeholder management skills. Experience driving complex data projects in agile, cross-functional teams. Nice-to-haves: Background in insurance or More ❯

track record of building and managing talent pipelines in competitive markets. Technical Understanding Solid grasp of modern tech stacks including Python, React.js, cloud platforms (AWS, Azure), and data tools (dbt, Airflow, Snowflake) from a recruitment perspective. Ability to assess technical skills through structured interviews and practical assessments. Understanding of software development practices, agile methodologies, and DevOps culture. Familiarity with AI 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 ❯

Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks (e.g., GDPR). Hands-on understanding of Python, SQL, and modern data engineering tools (e.g., Airflow, DBT, Atlan). Exceptional consulting and stakeholder management skills. Career experience within leading consultancies or SIs (e.g., IBM, Thoughtworks, EY, Capgemini). What's on Offer £125,000 - £140,000 base More ❯

Skills & Experience Strong background in data-centric roles, such as engineering, data science, analytics, or data product management. Proficiency with modern data tools and technologies (e.g. Python, SQL, Spark, dbt, APIs). Demonstrated success in senior or client-facing roles, delivering impactful data products and solutions. Knowledge of analytics, data modelling, architecture, and schema design. Experience building sophisticated dashboards using More ❯

Skills & Experience Strong background in data-centric roles, such as engineering, data science, analytics, or data product management. Proficiency with modern data tools and technologies (e.g. Python, SQL, Spark, dbt, APIs). Demonstrated success in senior or client-facing roles, delivering impactful data products and solutions. Knowledge of analytics, data modelling, architecture, and schema design. Experience building sophisticated dashboards using More ❯