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Data Platform Engineer
Designs and governs BigQuery databases for a real estate asset management company, ensuring efficient data storage, access control, and cost optimization while collaborating with data engineers and business teams to build scalable analytics pipelines.
Data Solutions Engineer
Build and deliver data-driven business solutions, including dashboards, automation tools, and integrations using SQL, Python, Power BI, and APIs to improve decision-making and processes.
Data Engineer
Designs and builds ETL/ELT pipelines and data models for a manufacturing client, using Snowflake, dbt, SQL, Python, and Power BI to enable analytics and BI reporting.
ML Engineer, Healthcare Data Pipelines (Hybrid)
Builds and maintains ML-powered data pipelines and anomaly-detection services for healthcare claims and pharmacies using Python, FastAPI, and unsupervised learning.
Remote Data Engineer - Azure Synapse & ETL
Builds and optimizes ETL pipelines using Python (PySpark) and Azure Synapse to transform/load data, designs scalable data storage, and partners with teams to meet analytics needs.
Data Engineer
Senior Data Engineer builds scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Data Scientist
Build and deploy data-science models in Python to extract insights from large datasets and support business decisions at a telecom/media company.
Business Intelligence ETL Developer
Designs, builds, and maintains ETL pipelines and SQL processes to load data into reporting data marts like Teradata and Redshift, using Python, Unix scripting, and AWS tools.
Senior Technical Engineering Program Manager
Lead large-scale data and platform programs at Adobe, coordinating cross-functional teams to deliver ETL/ELT ecosystems and measurable business impact.
BI Developer/BI разработчик
BI Developer builds and maintains dashboards for incident management metrics, analyzes data from Jira and internal systems, and works with SQL, Python, and visualization tools like Tableau or Power BI.
Data Engineer
Build and maintain IKEA’s supply-chain data pipelines and models in Databricks/Fabric, turning raw data into trusted analytics that drive better decisions across the global furniture business.
Data engineer
Build and optimize data pipelines for financial market data, leading integration projects and mentoring engineers in a regulated fintech environment.
Fullstack developer with aml and financial services -software engineer (azure)
Hands-on Fullstack Software Engineer building cloud-native AML/financial-risk services on Azure using C#/.NET, AKS, data pipelines (Data Factory, Databricks, Synapse), and Angular/React UI, with a strong emphasis on TDD, CI/CD, and incremental legacy modernisation.
Data Platform Engineer
Design and build a cloud-native data platform on AWS, creating scalable pipelines and APIs to process telemetry data into insights for analytics and AI-driven decisions.
Full Stack Developer
Builds and maintains Java/Spring Boot microservices and REST APIs, and develops React/TypeScript frontends. Also designs ETL pipelines with Python, Apache Airflow, and Apache Spark.
Senior Data Science Analyst
Designs and optimizes enterprise-scale data pipelines, warehouses, and ETL/ELT processes with a focus on reliability and scalability.
Lead Software Engineer – AI Product Development (Data)
Lead a small team building AI-powered backend services in Python, cloud (Azure/AWS), and LLM-based applications while shaping product direction and mentoring engineers.
Senior Data Engineer
Senior Data Engineer builds scalable pipelines, event streaming, and AI-powered tooling for Just Eat’s retail media platform, using BigQuery, dbt, Airflow, and GCP/AWS.
SC Cleared Data Engineer | London
Build and maintain a secure, validated data foundation for UK Health projects using Python, PySpark, and ETL pipelines, collaborating with SMEs and QA analysts.
Information Management Data Architect
Design and lead a governed, self-service Databricks-based data science and AI platform, enabling teams to build, train, and deploy models and agents while ensuring governance, cost control, and interoperability with Snowflake.