What you'll do: Shape the architecture of data products for analytics and data science, focusing on forecasting, feature engineering, and data source integration. Build reusable data pipelines, collaborate with data scientists and ML engineers to refine…
What they ask for: Expert in batch and near-real-time streaming data processing with Kafka, Flink and Spark; cloud-based AWS experience; proficient in Python and SQL; strong data warehousing (Redshift/PostgreSQL) and NoSQL skills; solid DevOps/CI-CD…
What you'll do: Design, build and maintain high-quality, reliable data solutions in the cloud and drive automation. Provide technical leadership to a small squad of engineers and lead in the development of standard data frameworks and policies. Design…
What they ask for: Demonstrable leadership mentality and business acumen; expert in cloud-based data technologies (preferably Azure); strong experience designing end-to-end data solutions and working with ETL tools such as Databricks, SQL, and Python/Spark.
What you'll do: Design and implement scalable ETL/ELT data pipelines and Lakehouse architectures on Databricks, integrating batch and streaming sources. Optimize data models (Delta Lake, medallion architecture), enable governed data products, and…
What they ask for: Minimum 5–8 years in data engineering or data architecture with at least 3+ years on Databricks, a university degree, strong SQL and Python skills, and hands-on experience with cloud platforms (AWS/Azure/GCP). Familiarity with Databricks…
What you'll do: Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions; develop natural language interfaces to data using GenAI/LLM techniques; ensure data quality, observability and production support through…
What they ask for: Bachelor's degree or equivalent and 8+ years building high-performance, large-scale distributed systems with emphasis on streaming and data pipelines. Strong expertise in SQL, data modeling/warehousing…
What you'll do: Design, build and operate end-to-end data pipelines and data products (including monitoring, alerting and data quality controls), collaborate with front-office stakeholders to translate requirements, and develop real-time visualisations…
What they ask for: Essential: strong Python and SQL skills, experience with orchestration tools (Airflow/Dagster/Prefect), database schema/ORM design (SQLAlchemy), Python dashboarding (Plotly Dash/Streamlit), and CI/CD/DevOps (Azure DevOps or similar).…
What you'll do: You will design and build the data foundation, including an append-only evidence store and streaming/batch pipelines for analytics. You will also own data quality, retention controls, and collaborate on training datasets for AI models.
What they ask for: The role requires 6+ years of experience in data engineering with strong proficiency in Python, SQL, and streaming technologies. Candidates should have experience with data modeling for audit trails and a security-minded approach to…
What you'll do: You will build and operate high-throughput data ingestion pipelines and search systems for AI products. This involves managing the full lifecycle of data from source acquisition to serving queries while optimizing for performance and…
What they ask for: You must have strong proficiency in Python and SQL with extensive experience operating production data pipelines and search systems. A proven track record of diagnosing performance bottlenecks and managing large-scale datasets is essential.
