Tech jobs
Job listings
Senior Data Scientist
Build and deploy predictive models and AI/ML solutions in Python and cloud platforms to extract insights and guide business decisions.
Data scientist
Build and deploy predictive models and feature stores to optimize customer engagement and sales for a leading retailer.
Data scientist
Build and scale AWS-based data pipelines, dashboards, and cloud apps to turn raw data into business insights using Python, Spark, and QuickSight.
Software/ Data Engineer
Builds and maintains data pipelines and analytics for a mining-industry big-data platform, focusing on ingestion, processing, and storage to enable descriptive, diagnostic, predictive, and prescriptive analytics.
Senior Data Engineer
Lead large-scale data migrations and build scalable cloud pipelines using Scala, Spark, and Kubernetes to transform enterprise data systems.
Data Engineer (Cloud)
Design and build scalable cloud data pipelines and warehouses using Azure, Databricks, and PySpark to turn raw data into trusted analytics-ready datasets for AI and BI.
Senior back-end developer
Senior back-end developer building scalable APIs and ETL pipelines in Python and AWS for a global client, focusing on data-driven solutions and system-wide integrations.
Data scientist
Senior Data Scientist to design and implement algorithms for curating and validating AI training datasets using PySpark, Python, and statistical modeling at scale.
Senior/Lead Data Engineer
Lead the design and delivery of scalable cloud data pipelines and platforms, mentor engineers, and enforce data governance and DevSecOps practices for a retail/FMCG company.
Senior data scientist
Senior data scientist builds and deploys ML models for a telematics company, analyzing IoT and telemetry data to drive AI solutions and insights.
Machine learning engineer
Build and deploy ML pipelines for a telecom-focused AI platform, integrating models into real-time and batch data systems using Python, Spark, and AWS.
Ai & ml data scientist: llms, analytics & bi
Design and deploy AI/ML solutions (LLMs, semantic search, pricing analytics) to improve HR and commercial decisions using Python, MLflow, Databricks, and Power BI.
Senior data engineer
Leads design and maintenance of scalable data pipelines and ETL processes for UK clients, using Python, Spark, SQL, and cloud platforms to ensure reliable, high-performance data infrastructure.
Ai software engineer / architect
Design and build AI-driven enterprise solutions using Python, TensorFlow/PyTorch, and cloud platforms; lead architecture, model selection, and MLOps for scalable deployments.
Cloud data engineer | elt pipelines & data quality
Builds and maintains cloud-based ELT pipelines and data-quality checks in Python and PySpark to deliver trusted data products for a fintech-focused platform.
Senior data scientist (azure data engineering & mlops)
Build and maintain Azure data pipelines and ML systems; engineer scalable data platforms, deploy ML models, and implement MLOps for a 12-month client engagement.
Data Engineer: Build Scalable Cloud Pipelines
Designs and builds scalable cloud data pipelines on AWS/Azure/GCP using Kafka, Spark, Python, and SQL to transform raw data into insights for a fintech company.
Data Engineer
Designs and maintains petabyte-scale data pipelines and cloud infrastructure for a bank, transforming raw data into governed, low-latency products for analytics and ML using Spark, Databricks, and Azure.
Data Engineer
Design and maintain scalable data pipelines using Airflow, Spark, Kafka, and cloud warehouses like Snowflake or BigQuery, optimizing performance and delivering data-driven insights.
Intermediate Data Engineer
Build and maintain scalable data pipelines using Databricks, Apache Spark, and Azure, automating workflows and CI/CD to deliver reliable, high-performance data solutions.