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Designs and maintains real-time/batch data pipelines for logistics, inventory, and warehouse ops in Too Good To Go’s Parcels business, embedded with product/tech teams to enable direct-to-consumer food delivery.
The Senior Machine Learning Engineer will design, build, and deploy personalization models to improve user recommendations and retention within the Too Good To Go marketplace. The role involves working with a Python-based stack including Metaflow, Airflow, and cloud infrastructure to drive marketing personalization efforts.
A senior backend engineer designs and scales Python microservices, APIs, and data pipelines that ingest, process, and deliver real-time data for enterprise clients at a Singapore startup. Core stack includes Kafka, Airflow, Postgres, and MongoDB, with CI/CD and monitoring work as the platform scales.
Senior Data Analyst at TRYNEXIS in Tbilisi (office/hybrid/remote within Georgia) owns the full analytics cycle: building metrics infrastructure, designing full-cycle A/B tests, creating data marts and Power BI dashboards, and mentoring the team. Core stack: SQL (ClickHouse/MySQL), Python (pandas/scipy/sklearn), Power BI.
Fully remote (US) staff-level data engineering role shaping and scaling an ELT/data platform supporting healthcare operations. Day to day: driving multi-quarter technical direction, authoring designs, mentoring engineers, and hands-on work with SQL, Python, Airflow, dbt, and a cloud data warehouse like Snowflake.
Data Engineer at KWAN (a Portuguese IT staffing firm) to design, build, and maintain production data pipelines and ETL/ELT workflows across cloud (mainly AWS) and on-prem platforms, with data modeling, quality/monitoring frameworks, and IaC. Requires 5+ years of experience with SQL, Python, orchestration tools like Airflow, and AWS data services; remote role within Portugal.
A three-month, full-time paid internship at Loka, an AI/GenAI consultancy, where you support senior engineers in designing, building and optimizing ETL data pipelines, integrating data into warehouses and lakehouses, and cleaning, modeling and visualizing data. Core stack: Python, SQL, with bonus exposure to AWS, Spark, Airflow and git.
Senior Machine Learning Engineer at Playtika (mobile game maker) designing and running large-scale, high-throughput ML serving and real-time personalization systems used by millions of players. Core stack is Python (FastAPI, Pydantic) with Kafka, PySpark, Airflow/MLflow/Kubeflow, and Docker/Kubernetes for deployment, plus GenAI/agent tooling and production observability.
Principal Software Engineer on UiPath's Vertical Solutions team building an AI agentic orchestration platform, designing and developing full‑stack systems (Python, C#, React) and distributed, cloud‑native infrastructure.
HCLTech is hiring a GCP Data Engineer (3+ years) with a walk-in interview in Bangalore. Day to day, the engineer designs and maintains data ingestion and transformation pipelines on Google Cloud using BigQuery, Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Airflow, and CI/CD automation for batch and real-time data processing.
UST is hiring a Data Engineer with 6+ years of experience in Big Data to design, build, and optimize large-scale data pipelines using PySpark, Apache Spark (with heavy emphasis on performance tuning), Python, Airflow, and SQL/MySQL, deploying to cloud (GCP preferred) with CI/CD integration. Immediate joiners preferred; role is based at UST locations in India.
HCLTech is hiring a GCP Data Engineer in Chennai (walk-in face-to-face interviews on Aug 22) to design, build, and optimize scalable data pipelines and warehouse solutions on Google Cloud Platform, using BigQuery, Dataflow, and Dataproc, with CI/CD automation for data pipeline deployment.
HCLTech is running a walk-in drive in Chennai for a GCP Data Engineer with 7-10 years of experience. Day to day, the person builds ETL/ELT data pipelines and orchestration on Google Cloud (BigQuery, Dataflow, Dataproc, Pub/Sub, Airflow) using SQL and Python/PySpark/Java, with Git and CI/CD practices.
TCS is hiring a GCP Data Engineer in Chennai (walk-in drive on 5 Sep 2026) to design and build batch and streaming data pipelines on Google Cloud Platform, optimize BigQuery data warehouses, and modernize legacy ETL workloads using tools like Dataflow, Cloud Composer/Airflow, PySpark, Python, and SQL.
At LIGENTEC, a Swiss photonic integrated circuits (PIC) company, the Research Data Engineer builds a Python analysis library and the data pipelines feeding it — architecting ETL/ELT orchestration, multi-site test-data infrastructure, and traceability from layout to measurement using Python, SQL, Git, and orchestrators like Prefect/Airflow/Dagster, onsite in the Lausanne area.
Builds production-grade LLM agents and classical ML models for bank collateral evaluation, integrating retrieval, agentic workflows, and risk controls in a regulated finance setting.
Hands-on Lead Data Engineer owning the Data Core of a Customer Intelligence & Personalization platform built on a Golden Record from banking, ecosystem and external data. Designs Bronze/Silver/Gold layers, builds ELT pipelines and transformations with SQL, dbt and Python, and sets standards for data quality, lineage and metadata.
Lead a team of data scientists and engineers to design, build, and maintain large-scale data pipelines and infrastructure for real-time pricing optimization, using Python, SQL, cloud platforms (GCP/AWS/Azure), Airflow (or Prefect/Dagster), Docker and related tools.
The Data Engineer will design, build, and maintain scalable cloud-based data pipelines using AWS, Airflow, and Databricks. The role also involves developing AI agents using LangGraph to automate workflows and integrate data sources.
Lead Data Engineer responsible for designing, building, and maintaining scalable ETL/ELT pipelines on the Databricks Lakehouse Platform, using Python, PySpark, SQL, AWS, and REST API integrations while collaborating with cross‑functional teams.
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