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Data Engineer
Data Engineer in BMO's Data and AI Technology (DAT) Engineering team in Toronto, building data and AI products that support the bank's risk, regulatory and compliance needs. Day-to-day work spans ETL/ELT pipeline development and data warehousing using SQL, Python, Spark, Scala, and cloud services like AWS and Azure.
Senior Data Engineer
Senior Data Engineer on BMO's Data and AI Technology (DAT) Engineering team in Toronto, leading the design, build, testing and support of data and AI products serving the bank's digital, risk and compliance needs. Core stack includes SQL, Python, Spark, Scala, ETL/ELT, cloud platforms (AWS/Azure) and GenAI/RAG.
Data Warehouse Engineer
Builds and optimizes Bybit's group-level offline and real-time data warehouse, tag systems, and user/product feature libraries for the crypto exchange. Works mainly with SQL/SparkSQL, the big-data stack (Spark, Flink, Kafka, Doris, Trino, TiDB), and Python/Scala/Java for ETL, modeling, and data governance.
Senior Data Engineer
Senior Data Engineer at Bybit (a major crypto exchange) in Abu Dhabi, building structured data delivery for Compliance and Trading teams, analytics dashboards, data governance, AI-powered data agents, and real-time data collection/scraping systems using Python, SQL, Spark/Hadoop, and OLAP engines.
Remote Senior Data Engineer
Fully remote Senior Data Engineer hired via placement agency Placements24 for a client data analytics firm: designing, building, and maintaining scalable data pipelines, ETL processes, and cloud data warehouses/lakes to support analytics and machine learning. Core stack spans SQL, Python/Scala/Java, big data tools (Spark, Kafka, Hadoop), and AWS/Azure/GCP.
Remote Senior Data Engineer: Big Data Pipelines & Cloud
Fully remote senior data engineer role placed by recruitment firm Placements24 for a leading data analytics client. Day to day: designing and optimizing large-scale data pipelines with Spark, Hadoop, and Kafka, and building data models and warehousing/lake architectures on AWS, Azure, or GCP.
Senior Data Engineer - Big Data Solutions
Fully remote Senior Data Engineer for a data analytics and insights company: design, build, and maintain scalable big data pipelines and ETL/ELT infrastructure using Spark, Kafka, and cloud platforms (AWS/Azure/GCP), plus data warehousing (Snowflake/Redshift/BigQuery) to power analytics and ML initiatives.
Data Engineer - AI & ML Pipelines
Data Engineer designing, building, and maintaining scalable ETL/ELT data pipelines and cloud data infrastructure (AWS, Azure, or GCP) to support a data analytics firm's AI and ML initiatives. Fully remote role across South Africa, focused on data quality, warehousing, and pipeline reliability for data science teams.
Data Engineer Big Data & Cloud
Senior data engineer who autonomously owns the architecture and development of a big data platform (Cloudera, Spark, Kafka) with a GCP side (BigQuery, dbt, Dataflow, Pub/Sub), building batch and real-time pipelines in Scala/Java/Python with CI/CD and Scrum. Hybrid in Madrid (Alcobendas), 2–3 days remote per week.
Managing Consultant, Data Architect
We are looking for a Managing Consultant, Data Architect to join our growing team of experts. This position is the principal technical authority for enterprise data and AI platforms across a portfolio of client…
Senior IT Analyst
ALGOTEQUE to firma doradcza IT, która wspiera startupy, średnie i duże przedsiębiorstwa w tworzeniu i wdrażaniu innowacyjnych technologii. Nasz zespół ma udokumentowane sukcesy w projektowaniu, rozwijaniu, wdrażaniu i…
Data & Systems Engineer: Build Scalable Pipelines
Data Engineer at the Centre for Strategic Infocomm Technologies in Singapore, designing and optimizing data flows and building scalable pipelines, and working with cross-functional teams to turn requirements into robust data products. Core stack includes SQL/NoSQL, ETL tools (NiFi/Airflow), Hadoop, Spark, Kafka, and REST APIs.
Senior/Expert Site Reliability Engineer - Big Data Responsibilities
Site Reliability Engineer at Shopee focused on big data platforms: deploying and operating Hadoop-ecosystem services (HDFS, YARN, Spark, Flink, Kafka, ClickHouse, etc.), handling monitoring, incident response, performance tuning, capacity planning, observability, and automation/tooling to keep production reliable.
Data Engineer
Data engineer at Xiaomi in Singapore, running and evolving the group's overseas data warehouse covering mobile device, IoT, and app data. The work centers on big data architecture and warehouse modeling to enable data-driven overseas operations, using Hadoop, Spark, Flink, Doris, Kudu, and Iceberg.
Data Engineer (Data & Systems Engineering)
Builds and maintains ETL pipelines, optimizes data flow between systems, and analyzes telemetry for actionable insights at CSIT, a Singapore Ministry of Defence agency. Core stack includes OOP languages (Python, Golang, Java, C++), SQL/NoSQL databases, and tools like NiFi or Airflow. Singapore Citizens only.
Tech Business Analyst – Data Team (Google Cloud and SQL)
Role Description You will be an experienced Business Analyst, ideally coming from a Data Analytics/Platform background, you will lead initiatives that enhance the firm’s data ingestion, data products, data quality…
Senior Data Scientist: Big Data Analytics (Hybrid/Remote)
Placements24 in Pretoria is hiring a Senior Data Scientist (hybrid) to lead advanced analytics — building predictive models, managing data pipelines, and communicating insights to finance and business stakeholders. Core stack includes Python/R, Spark, Hadoop, Hive, and ML libraries.
AI Solutions Architect - Cloud and Big Data
Designs and architects end-to-end AI/ML solutions on cloud platforms (AWS, Azure, GCP) with big data infrastructure (Spark, Hadoop, Kafka), creating technical roadmaps and guiding development teams. Fully remote role working for a client described as a leader in AI and emerging technologies.
Hybrid Senior Data Engineer: Cloud Pipelines for AI
Placements24 is hiring a Senior Data Engineer (hybrid, based in Upington, Northern Cape, South Africa) to build and maintain scalable cloud data pipelines and warehouses supporting AI/ML workloads, spanning AWS, Azure, and GCP with Spark, Hadoop, and SQL.