101 to 125 of 351 Permanent Apache Airflow Jobs

experience in a commercial environment, working on AI/ML applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real More ❯

experience in a commercial environment, working on AI/ML applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real More ❯

Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP OB have partnered with a UK FinTech Unicorn, who's Data function is undergoing rapid growth, and in-turn are looking to grow their Data team, with 2 highly skilled Data Engineers. You'll be working on shaping the companies Data function, driving Data best practices, and More ❯

than reactive. Tech Stack Cloud: On AWS Infrastructure/Access Management: Using Terraform Data Platform: Snowflake Data Integration Tool: Fivetran Data Transformation Tool: DBT core Data Orchestration Tool: MWWA(Airflow managed by AWS) CI/CD Pipelines: Github Actions Program Languages: SQL, Python and Terraform For more information on how we process your personal data, please refer to HCLTech More ❯

than reactive. Tech Stack Cloud: On AWS Infrastructure/Access Management: Using Terraform Data Platform: Snowflake Data Integration Tool: Fivetran Data Transformation Tool: DBT core Data Orchestration Tool: MWWA(Airflow managed by AWS) CI/CD Pipelines: Github Actions Program Languages: SQL, Python and Terraform For more information on how we process your personal data, please refer to HCLTech More ❯

data engineering or data architecture Proven experience designing and implementing solutions on Snowflake Strong SQL and Python skills Experience with AWS and modern data stack tools (e.g., dbt, Fivetran, Airflow) Excellent communication skills and stakeholder management Fluent in English (spoken and written) The job is 100% remote; please ensure you have a comfortable office set at your desired work More ❯

in a modern, cloud-first environment with real autonomy — designing and building data pipelines, improving infrastructure, and driving innovation across the data platform. Tech Stack: 🔹 Snowflake 🔹 Python (FastAPI, Pydantic) 🔹 Airflow/Dagster 🔹 AWS + Terraform 🔹 CI/CD (GitHub Actions) (Bonus: Kafka, dbt/SQLMesh, data quality & governance tools) What’s on Offer: 💰 Up to £110,000 + annual More ❯

with internal stakeholders to drive innovation and efficiency Requirements: 3–6 years of experience in Data Engineering or a related role Strong skills in Python, SQL, AWS, Git, and Airflow Proven ability to improve data quality and system performance Excellent communication and problem-solving skills Minimum 2:1 degree from a Russell Group or Ivy League university in Computer More ❯

for 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 More ❯

architecture experience (AWS, GCP, or Azure) Solid understanding of streaming vs. batch processing paradigms Experience defining technical strategy and creating actionable roadmaps Familiarity with broader data ecosystem tools like Airflow, Dagster, DBT Strong skills in Python, Scala, or Java A background in ETL/ELT pipelines, data warehousing, and analytics engineering best practices Experience working with privacy-sensitive data More ❯

are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: GCP | Python | SQL | MongoDB | Airflow | dbt | Terraform | Docker | ETL | AI | Machine Learning More ❯

in a cloud environment, preferably Azure and Kubernetes. Strong technical stack: Java 17, Spring Boot, PostgreSQL, Docker, Kubernetes, Linux/Shell, GraphQL, Tekton, Azure, OpenShift, gRPC, Python, Helm, DotWebStack, Apache Airflow. Excellent communication skills and a willingness to share knowledge. Initiative and a continuous improvement mindset. Benefits 36 hour work week: €6,153.27 gross monthly salary (scale 11) plus More ❯

time-series and geospatial data concepts. Familiarity with collaborative software development practices (CI/CD, version control, testing). Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll work closely with world-class researchers and technologists More ❯

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 ❯

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 ❯

AI/ML engineering 💻 Strong Python skills (plus SQL and experience with modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms (GCP preferred, or AWS/Azure) 🔍 Strong analytical mindset and ability to solve complex problems 🤝 Excellent communication and collaboration skills ⚙️ Experience with data More ❯

AI/ML engineering 💻 Strong Python skills (plus SQL and experience with modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms (GCP preferred, or AWS/Azure) 🔍 Strong analytical mindset and ability to solve complex problems 🤝 Excellent communication and collaboration skills ⚙️ Experience with data More ❯

focused, and able to contribute quickly in a fast-moving environment. Nice to Have Experience with Power BI or other data visualisation tools. Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. Understanding of CI/CD practices in data and analytics engineering. Knowledge of data governance, observability, and security best practices in cloud environments. More ❯

approach. They foster a collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions. Why this role? ** Lead a talented team of data engineers delivering high-quality, reliable data systems. More ❯

APIs and integration techniques. Additional Assets (Preferred): Familiarity with data visualization tools (e.g., Power BI). Experience in database administration or performance tuning. Knowledge of data orchestration tools like Apache Airflow. Exposure to big data technologies such as Hadoop or Spark. Why Join Synechron? Be part of a dynamic, innovative team driving digital transformation in the financial sector. We More ❯

/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or the ability to quickly More ❯

/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or the ability to quickly More ❯

PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs). Proven ability to manage or mentor junior team members, providing technical More ❯

code. Deep experience with AWS (Lambda, ECS/EKS, EMR, Step Functions, S3, IAM, etc.). Strong knowledge of distributed systems and streaming/data pipelines (Kafka, Spark, Delta, Airflow, etc.). Familiarity with infrastructure-as-code (Terraform, CloudFormation, or CDK) and CI/CD pipelines (GitHub Actions, Jenkins, etc.). Understanding of SRE fundamentals - monitoring, alerting, on-call More ❯

manipulation, modelling and scripting Experience with cloud services, such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible More ❯