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Lead AXS’s global data engineering team to build and scale platforms that power analytics, personalization, fraud prevention, and real-time decisioning for live event ticketing and e-commerce.
Senior Data Engineer at Tillster (restaurant digital ordering platform) building and maintaining real-time, batch, and streaming data pipelines across Redshift, BigQuery, and Snowflake, with Airflow/Jenkins orchestration and a dbt modeling layer, plus secondary analytics support in Looker. Core stack: Python, SQL, AWS, dbt, Airflow.
Maintain and evolve Verifone’s global payment data platform, focusing on Kafka streaming, databases, cloud infrastructure, and DevOps automation to power analytics and AI initiatives.
Senior cloud engineer designing, automating, and maintaining secure, scalable AWS-based cloud infrastructure using infrastructure-as-code (Terraform, CloudFormation, Ansible) and CI/CD pipelines, with a strong DevSecOps focus. Requires 7+ years of AWS/DevSecOps experience and eligibility for a Public Trust clearance.
Senior Python Data Engineer (Associate Principal level, 12-17 years) in Hyderabad: designs scalable Python data-processing/data-science solutions and real-time streaming pipelines on AWS (Kinesis, MSK), with data quality, governance, and automation for enterprise data initiatives. Requires attending an in-person interview drive on 24 October 2026.
Build and maintain scalable data pipelines and lakehouse systems for AI-driven analytics and ML at a consumer tech company with 97.8M users.
Senior Data Engineer on the Insights & Enablement team within Retail Media Tech at Just Eat Takeaway, building event streaming, attribution pipelines, BigQuery/dbt Gold Layer data marts, a semantic layer, and agentic AI tooling. Core stack: Python, SQL, BigQuery, dbt, and Airflow across GCP and AWS.
Principal-level ML engineer who builds, scales, and operates production-grade machine learning systems powering real-time 1:1 personalization across Attentive's marketing platform. Core stack includes Python with PyTorch/TensorFlow/HuggingFace for modeling, plus Kubernetes on AWS and Java/Spring Boot microservices for serving.
About TailorCare TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a deeply personal, evidence-based approach to improving patient outcomes for joint, back, and muscle…
Senior Data Engineer on a client project at Software Mind, building and maintaining scalable ETL/ELT pipelines, data models, and monitoring, plus datasets, dataflows, and dashboards in Domo. Core stack: Snowflake, SQL, Python, and AWS services (Kinesis, Lambda, S3, SQS, CDK), with Salesforce API integrations.
Senior data engineer on Apple's Services Special Projects team building a massive real-time platform that turns multimodal data streams (structured, image, log) into an intelligent, searchable foundation. Day-to-day: designing large-scale ETL/ELT pipelines with Spark, Kafka, Flink and AWS, integrating ML/LLM inference for data enrichment powering Apple services at billions-of-customers scale.
Senior Data Engineer in Sofia designing and building cloud data platforms for client projects on AWS+Databricks or Azure/Fabric. Day to day: batch, streaming and near-real-time pipelines with Spark, Delta Lake, Python and SQL, plus data modeling, governance, observability, and enabling AI/GenAI workloads like RAG.
Senior Data Engineer designing and building cloud-based data platforms using AWS/Databricks or Azure/Fabric. The role involves creating batch and streaming pipelines, data modeling, and supporting AI/GenAI initiatives like RAG and LLM-powered applications for global brands.
Senior Data Engineer at Valtech (remote in Poland) designs and builds cloud data platforms and batch/streaming pipelines on either AWS+Databricks or Azure/Fabric, enabling analytics, ML, and GenAI workloads (RAG, LLMs). Core tech: Spark, Delta Lake, Python, SQL, lakehouse patterns, and orchestration/governance tooling like Airflow, dbt, and Unity Catalog.
Design and optimize cloud-based data platforms using AWS/Databricks or Azure/Fabric. You will build scalable batch and streaming pipelines, implement lakehouse architectures, and support AI/GenAI initiatives while collaborating with cross-functional teams to solve complex business problems.
Machine Learning/Data Engineer at AllCloud delivering AI/ML projects for clients on AWS: building data pipelines and data lakes, deploying ML models (Jupyter, AWS AI/ML services), and optimizing cloud databases. Requires 3+ years in a data/ML role with Python, SQL, Spark, and AWS services.
On-site senior data engineer role in Hyderabad: build and optimize real-time streaming data pipelines using Python and AWS services (Kinesis, MSK/Kafka, Lambda, Glue), lead data science initiatives, ensure data quality/governance, and mentor engineers. Targeting candidates with 12–18 years of experience.
Builds and maintains Java-based server-side connectors that deliver real-time customer data from Tealium's Customer Data Platform to third-party marketing, advertising, and analytics APIs. Works with Java 17/21, Spring/Quarkus, AWS, Kafka/Kinesis, and cloud-native distributed systems.
Software engineer on Tealium's Data Platform team, building scalable, high-performance data services for the Universal Data Hub that store, process, and securely retire large volumes of customer event data. Core stack: Java/Python/Scala on AWS with various SQL/NoSQL stores, plus growing AI/LLM-powered capabilities.
Senior remote data scientist/ML engineer at Compass UOL: designs and builds predictive models and data/ML solutions end to end, including streaming and distributed data platforms on AWS (Kinesis, Glue, Redshift, EMR, Athena, SageMaker), using Python and tools like Spark, Kafka, TensorFlow and MLflow.
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