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Senior Solutions Architect - Lakebase
Senior Solutions Architect at Databricks focuses on driving adoption of the Lakebase product line by designing client solutions, delivering demos, and collaborating with sales teams in the Amsterdam region.
Джуниор / Миддл Продуктовый аналитик
Product analyst role working with SQL (Greenplum, ClickHouse) and BI tools (Superset, Tableau); Python is a plus. Hybrid or office across 25+ hubs in Russia.
Principal Software Engineer
This role involves building and maintaining a proprietary investment platform for trading and portfolio management using Java and Python on AWS. The engineer will design fault-tolerant, distributed systems and integrate AI-native workflows to support the firm's ETF operations.
Software/Data Engineer – Data Platforms (Asset & Wealth Management) - Associate Data Architect II
Builds and optimizes data pipelines, cloud-based data solutions, and data models for a fintech firm’s asset/wealth management platform using Snowflake, Azure, Python, and dbt.
Cloud Data Platform Engineer & Associate Data Architect
Builds and maintains a cloud-based enterprise data platform for asset/wealth management, using Snowflake, SQL, Python, and Azure tools to create scalable data solutions.
Senior Data Engineer: Databricks, Pipelines & AI Tools
The Senior Data Engineer will build and maintain a centralized data platform using Databricks, Delta Live Tables, and Unity Catalog. The role involves designing end-to-end data pipelines, implementing data contracts, and mentoring team members.
Data Engineer – Real‑Time Pipelines & AI (Hybrid)
The Data Engineer will build and maintain scalable real-time data pipelines using Python, SQL, PySpark, Databricks, Kafka, and AWS. The role involves collaborating with data scientists and software engineers to support AI/ML initiatives and manage large-scale sensor data processing.
Senior Snowflake Data Engineer | Hybrid (Sutton)
The Senior Snowflake Data Engineer will design and develop scalable data solutions using Snowflake, AWS, and Python. This hybrid role involves collaborating with cross-functional teams to build robust data architectures.
AWS Data Engineer - Hybrid, Growth & Impact
The Data Engineer will design and build production data pipelines on AWS to support scalable data movement, warehousing, and analytics for client projects. The role involves using Java, Python, Scala, Spark, and SQL within an agile, hybrid-working environment.
Data Engineer - Kids Planet Central Support
Data Engineer building data pipelines, maintaining a data warehouse, and improving APIs for a large UK nursery group using Python, SQL, and cloud platforms.
Senior Data Engineer: Real-Time, Cloud Pipelines (Azure)
Senior Data Engineer designing and maintaining large-scale real-time data pipelines and cloud platforms on Azure (ADF, Databricks, Synapse) using Python/SQL, with a focus on data governance in a financial services context.
Lead Data Engineer, Risk Insights & Automation
Lead a team to build and automate data pipelines, dashboards, and ETL processes using Python to deliver reliable risk insights for a fintech company.
Senior Snowflake Data Engineer
Leads Snowflake data engineering for a client, designing complex data models, mentoring teams, and optimizing ETL pipelines while collaborating on Agile software development projects.
Lead Data Platform Engineer – AWS, ETL & Pipelines
Lead Data Engineer building and evolving Liverpool FC's data platform and warehouse, designing scalable AWS-based ETL pipelines and data models while guiding offshore dev teams.
data engineer for real-time freshness prediction
Data engineer building scalable ETL pipelines and APIs on GCP for a startup that predicts food freshness in real time using gas sensors and AI.
Lead Data Engineer — Pipelines, AI & Cloud (Hybrid)
Designs and maintains scalable data pipelines using SQL, Python, Databricks, and Snowflake to enable business insights, while leading a team and ensuring data governance and security in cloud-native environments.