15 of 15 Permanent Apache Airflow Jobs in Central London

attributes of the suitable Analytics Engineer include: A few years of experience in analytics or data engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure). You should be confident designing ELT/ETL pipelines and working across varied technical stacks. Strong communication skills and experience working More ❯

in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience More ❯

Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling The vibe: You’ll be joining a collaborative, inclusive team that values technical excellence and continuous learning. Flexible working, strong L&D More ❯

b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

with scripting languages such as Python or Scala . Demonstrated ability to create impactful dashboards using Power BI and Tableau . Deep understanding of data pipeline orchestration tools (e.g., Airflow, dbt, Azure Data Factory). Experience working in agile, cross-functional teams, collaborating closely with data analysts, engineers, and business stakeholders. Strong problem-solving skills, attention to detail, and More ❯

unsupervised, and reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops: Hands-on experience with continuous integration/deployment (CI/CD) for ML, model versioning, and monitoring. Business Acumen: Ability … to understand marketing and advertising concepts like customer lifetime value (CLV), attribution modeling, real-time bidding (RTB), and audience targeting. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English skills Last but not least More ❯

B2C environments Strong programming skills in Python, with experience using libraries like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with cloud environments (AWS, GCP, or Azure) and data pipelines Excellent communication skills—able to explain technical work to non-technical stakeholders and More ❯

especially in areas like compliance, payments, or SaaS metrics. Exposure to statistical analysis or experimentation (A/B testing, cohort analysis, etc.). Familiarity with data pipeline tools (e.g., Airflow) and modern data stack concepts. Why join us Unique opportunity . Be part of a company with direct access to tens of thousands of new businesses in the UK. More ❯

from web analytics, content management systems (CMS), subscription platforms, ad tech, and social media. Proven ability to automate and optimise data workflows, using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to ensure timely and reliable delivery of data. Experience building robust data models and reporting layers to support performance dashboards, user engagement analytics, ad revenue … with 5+ years of hands-on experience in a data engineering role. Tools & Technologies: Databases: Proficient in relational SQL databases. Workflow Management Tools: Experience with orchestration platforms such as Apache Airflow. Programming Languages: Skilled in one or more of the following languages, i.e.: Python, Java, Scala. Cloud Infrastructure: Strong understanding of cloud infrastructure such as GCP and tools within More ❯

data from web analytics, content management systems (CMS), subscription platforms, ad tech, and social media. Ability to automate and optimise data workflows, using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to ensure timely and reliable delivery of data. Experience building robust data models and reporting layers to support performance dashboards, user engagement analytics, ad revenue … with 2+ years of hands-on experience in a data engineering role. Tools & Technologies: Databases: Proficient in relational SQL databases. Workflow Management Tools: Exposure to orchestration platforms such as Apache Airflow. Programming Languages: Skilled in one or more of the following languages, i.e.: Python, Java, Scala. Cloud Infrastructure: Understanding of cloud infrastructure such as GCP and tools within the More ❯

with SPARQL and Python. Strong understanding of graph databases (e.g., RDF, Neo4j, GraphDB). Experience in data modeling and schema design. Familiarity with data pipeline tools and frameworks (e.g., Apache Airflow, Luigi). Excellent problem-solving and analytical skills. Ability to work independently and collaboratively within cross-functional teams. Preferred Background Experience in Health Informatics or Clinical Decision More ❯

tracking) Desirable Skills & Interests * LangChain, Langflow, or similar frameworks for building AI agents * LLMs or intelligent automation workflows * High-availability, scalable systems (microservices, event- based architectures) * Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless frameworks You will be an enthusiastic Python Developer and a great communicator. The successful Python Developer should have strong problem-solving abilities, organisational skills More ❯

support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature engineering, model training, and inference … Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing skills—comfortable leading on technical delivery 🎁 What’s on More ❯

colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to CI/CD pipelines (GitLab CI preferred). Experience More ❯

Head of AI & Technology Shape the Future of AI Recruitment Are you passionate about AI, technical leadership, and building scalable, high-impact products? Join us as a Head of AI & Technology and take the reins of a cutting-edge AI More ❯