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Remote ML Engineer for Big Data Analytics & Pipelines
Placements24 is hiring a remote Machine Learning Engineer (3+ years) to design, train, and deploy scalable ML models on big data platforms. Day to day involves building data pipelines with Spark/Hadoop, applying MLOps in a cloud environment, and collaborating with data science and software engineering teams.
Remote Machine Learning Engineer - Big Data Analytics
Fully remote machine learning engineer for a data analytics firm, owning the end-to-end ML lifecycle — building data pipelines, training and deploying models on big data tech like Spark/Hadoop — using Python/Scala, cloud ML services, and MLOps practices.
Remote Senior Data Engineer - Scalable Big Data Pipelines
Fully remote Senior Data Engineer role (via recruiter Placements24) at a data analytics company, designing, building, and maintaining scalable big data pipelines and infrastructure to support advanced analytics and ML. Stack includes AWS/Azure/GCP, SQL/NoSQL, Spark/Flink/Hadoop, and ETL/ELT.
Remote Senior Data Engineer - Big Data Platforms
Placements24 is recruiting a fully remote Senior Data Engineer for its client, a data analytics company. You'll design, build and maintain scalable big-data pipelines, ETL/ELT processes and cloud data warehouses (AWS/Azure/GCP, Spark, SQL/NoSQL, Python/Scala, Airflow) that power analytics and machine learning workflows.
Specialist Data Engineer
Data engineer at Absa Bank in South Africa, embedded in agile squads to design, build, test and optimize data pipelines for retrieval, processing, storage and distribution. Core work spans relational/NoSQL databases, streaming platforms, CI/CD (Jenkins) and automation (Ansible/Chef), with Spark, Kafka, Hadoop and cloud as advantages.
Data Engineer
Data Engineer building and maintaining scalable ETL/ELT pipelines, data warehouses, and data lakes for a data analytics firm, ensuring data quality and supporting data science and analytics teams. Core stack includes SQL, relational databases, Python/Scala, and cloud data platforms (AWS, Azure, GCP) in a hybrid Upington-based role.
Principal Data Engineer
Principal Data Engineer (fully remote within South Africa) at a global data analytics firm: designing and scaling data pipelines, warehousing, and cloud data platforms using Spark, Kafka, and AWS/Azure/GCP, while mentoring engineers and driving data architecture and governance best practices.
Machine Learning Engineer
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.
Senior Big Data Engineer | Spark, Cloud & API
Senior engineer at NTT DATA Italia who analyzes, designs, and implements complex big data applications in a team setting, building scalable solutions with Spark, Kafka, NoSQL and REST APIs, using cloud platforms (AWS/GCP/Azure), HDFS, SQL, and OO languages like Java, Python or Scala.
Аналитик данных (блок цен и скидок)
Data analyst on Ozon's pricing & discounts team (Moscow, remote possible): analyzes price dynamics, discount impact on customer and seller behavior, and builds ETL pipelines. Stack: SQL (Vertica), Python, Excel, BI tools (Superset/Tableau/PowerBI); Hadoop, Kafka, ClickHouse a plus.
Data Solution Architect (Presales)
Presales data solution architect designing data lakehouse, EDW, and data governance solutions for banking/financial clients in Malaysia and Southeast Asia — leading technical proposals, RFP responses, and POC validations. Core stack: MPP databases (GaussDB, ClickHouse) and big data tools (Hadoop, Spark, Flink, Kafka, Iceberg).
Lead Data Scientist
Lead Data Scientist at Digitas (Publicis Groupe), a marketing/advertising agency: owns end-to-end analytical projects for marketing and business challenges — building statistical, ML and AI models, working with big data and customer data pipelines on distributed systems, and communicating insights to clients. Core stack: Python or R, SQL, Hadoop/AWS, with Spark/Linux preferred.
Senior Software Engineer (Data Platform, C++)
Build and maintain a distributed data platform (YTsaurus-based) in C++ to power AI workloads, handling petabytes of data across hundreds of servers for internal and external users.
Data Engineer - Infrastructure
Build and scale high-performance storage and data platforms for a high-frequency trading firm, tuning Linux systems and automating infrastructure with Ansible/Puppet.
Software Engineer - Risk Technology
Builds and maintains risk-analysis systems and dashboards for a global trading firm, using Java/Python and modern data tools to measure exposures and capital across asset classes.
Site Reliability Engineer - Data Engineering
Manage and monitor large-scale distributed data systems like Kafka, HDFS, and Dremio while driving systems automation and CI/CD. Collaborate with engineers and traders to support the data platform powering trader analysis and insights.
Python Software Engineer
Build high-performance trading systems and analytical tools in Python for internal use, collaborating closely with traders and researchers to develop scalable applications and data-driven solutions.
Data Engineer
Designs and maintains IMC’s big-data infrastructure (Kafka, Hadoop, Spark, Flink) and builds streaming pipelines in Java/Python to power global trading.