51 to 75 of 155 Remote Apache Airflow Jobs

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 ❯

JIRA project tracking, maintain Confluence documentation, and oversee code design for efficient development and collaboration. - Lead technical design and implementation of data models, ETL processes, and visualisation tools (BigQuery, Airflow, SSIS, Tableau, SSRS). - Define and implement best practices in data modeling, including data warehouse and lakehouse integration (Medallion Architecture). Skills and Experience: - Strong understanding of structured data … operational dashboards. - Advanced proficiency with Microsoft BI Stack: SSIS, SSRS - Strong SQL Server skills and SQL querying experience - Hands-on experience with Google Cloud Platform tools including: BigQuery; Composer; Apache Airflow; Stream; Informatica; Vertex AI - Tableau dashboard development and reporting - Python programming for data analysis - Data modelling (warehouse, lakehouse, medallion architecture) - Understanding of financial and insurance data models More ❯

stakeholders, understanding and translating their needs into technical requirements. Possess outstanding communication and interpersonal skills, facilitating clear and effective collaboration within and outside the team. Desirable: Familiarity with the Apache Airflow platform. Basic knowledge of BI tools such as Power BI to support data visualization and insights. Experience with version control using GIT for collaborative and organized code More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Proven experience working in a consultancy environment — able to manage multiple clients and projects Great communication skills — able to work with both More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Proven experience working in a consultancy environment — able to manage multiple clients and projects Great communication skills — able to work with both More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Great communication skills — able to work with both tech and business teams Comfortable in a consultancy environment Experience in the gambling/ More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Great communication skills — able to work with both tech and business teams Comfortable in a consultancy environment Experience in the gambling/ More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Proven experience working in a consultancy environment able to manage multiple clients and projects Great communication skills able to work with both More ❯

executing tests Requirements Strong experience as a Data Engineer (migrating legacy systems onto AWS, building data pipelines) Strong Python experience Tech stack experience required: AWS Glue, Redshift, Lambda, PySpark, Airflow SSIS or SAS experience (Desirable) Benefits Salary up to £57,500 + up to 20% bonus Hybrid working: once a fortnight in the office 28 days holiday plus bank More ❯

executing tests Requirements Strong experience as a Data Engineer (migrating legacy systems onto AWS, building data pipelines) Strong Python experience Tech stack experience required: AWS Glue, Redshift, Lambda, PySpark, Airflow SSIS or SAS experience (Desirable) Benefits Salary up to £57,500 + up to 20% bonus Hybrid working: once a fortnight in the office 28 days holiday plus bank More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Proven experience working in a consultancy environment — able to manage multiple clients and projects Great communication skills — able to work with both More ❯

have, proven experience building APIs in production Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary: £100,000 + Equity, PMI, Strong pension, clear progression routes Location: Central London (1 day More ❯

grade engineering expertise FastAPI – Nice to have Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary: £75,000 - £85,000 + Equity, PMI, Strong pension, clear progression routes Location: Central London More ❯

have, proven experience building APIs in production Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary: £100,000 + Equity, PMI, Strong pension, clear progression routes Location: Central London (1 day More ❯

grade engineering expertise FastAPI – Nice to have Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary: £75,000 - £85,000 + Equity, PMI, Strong pension, clear progression routes Location: Central London More ❯

with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems If you’re interested, get in touch ASAP with a copy of your most recent and up-to More ❯

with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems If you’re interested, get in touch ASAP with a copy of your most recent and up-to More ❯

and Terramate . Automation & Reliability: Implement and maintain self-healing, highly available architecture with a focus on Kubernetes (GKE) . Platform Support: Manage and optimise key platforms such as Airflow , BigQuery , and PostgreSQL clusters. Developer Experience: Enhance internal developer productivity through Coder remote dev environments, GitLab CI/CD pipelines, and observability tooling. Collaboration: Partner closely with Data Engineering More ❯

and Terramate . Automation & Reliability: Implement and maintain self-healing, highly available architecture with a focus on Kubernetes (GKE) . Platform Support: Manage and optimise key platforms such as Airflow , BigQuery , and PostgreSQL clusters. Developer Experience: Enhance internal developer productivity through Coder remote dev environments, GitLab CI/CD pipelines, and observability tooling. Collaboration: Partner closely with Data Engineering More ❯

data or analytics transformation context. Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business outcomes. Familiarity with Google Cloud ecosystem (BigQuery, Dataflow, dbt, Airflow) is a strong advantage. Experience in consumer brands, retail, or eCommerce is preferred. Ideal Candidate You are an experienced data delivery lead who thrives on enabling analytics transformation. You More ❯

contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or Real Time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform More ❯

contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform More ❯

remaining deeply hands-on. Strong communicator who can bridge technical and non-technical discussions with credit, risk, and leadership teams. Nice to Have Experience with MLOps tooling (e.g., MLflow, Airflow, Vertex AI, or similar). Familiarity with real-time decisioning systems or lending analytics. What We Offer Ownership of the ML roadmap for a growing fintech with proven traction. More ❯

remaining deeply hands-on. Strong communicator who can bridge technical and non-technical discussions with credit, risk, and leadership teams. Nice to Have Experience with MLOps tooling (e.g., MLflow, Airflow, Vertex AI, or similar). Familiarity with real-time decisioning systems or lending analytics. What We Offer Ownership of the ML roadmap for a growing fintech with proven traction. More ❯

to work with project managers to produce technical specifications. Strong interpersonal skills with the ability to work effectively with a wide range of stakeholders. Understanding of Git. Experience using Airflow or similar. Benefits and Working Arrangements: 5% of annual salary in share options in line with the Company Policy at the end of a successfully passed six-month probationary More ❯