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Salary: £55,000 - 95,000 per year Requirements: Experience working as part of data engineering teams and independently. Line or team management experience, including leadership experience. Experience working with cloud…
Senior Director leading Samba TV's data platform and cloud services in Warsaw: defining a cloud-native, ML/AI-enabled architecture that scales to billions of daily events, building vector/embedding infrastructure, and mentoring a large platform engineering team. Stack spans Kafka/Flink/Spark, Snowflake/Databricks/BigQuery, Airflow, Kubernetes, Terraform, and MLflow/Kubeflow/SageMaker.
Develop and maintain large‑scale distributed data pipelines and real‑time streaming applications for Apple Services, using Java/Scala, Flink, Kafka, Iceberg and related big‑data tools.
The Data Engineer III will design, build, and maintain data pipelines and warehousing solutions, mentor the data team, and collaborate with data scientists and product engineers using Python, SQL, Snowflake, Airflow, dbt, and GCP/AWS cloud services.
The Analytics Engineer will design, build, and maintain data pipelines and observability tooling on Emma’s AWS‑based lakehouse, using SQL, Python, dbt, Airflow, and IaC, while documenting standards and supporting AI‑augmented workflows.
Senior Data Analytics Engineer in Accor's Loyalty & Partnerships tribe, designing and maintaining scalable data pipelines and data products for B2C/B2B loyalty programs, with a focus on performance, cost optimization (FinOps), and engineering best practices. Core stack: SQL, Python, Snowflake, dbt, Terraform, Airflow, GitLab CI/CD, and Tableau.
Big Data Engineer at HCLTech (Bangalore/Chennai) building and optimizing large-scale data pipelines and ETL/ELT workflows using Python, PySpark, SQL, Apache Airflow, Kubernetes, S3-compatible object storage, and table formats like Iceberg/Delta Lake/Hudi. Targets candidates with 6-10 years of experience in Agile teams.
The Data Engineer III will design and maintain data pipelines and warehousing solutions, mentor the data team, and ensure data reliability using Python, SQL, Snowflake, Airflow, dbt, and GCP/AWS services.
The Data Scientist will design, build, and evaluate LLM‑based and classical ML models for fraud and risk detection, own prompt engineering, and ship models into real‑time streaming pipelines, collaborating closely with engineers. Core technologies include Python, large‑scale data processing, AWS cloud, and modern ML infrastructure.
Мы ищем ML Engineer в команду развития ценности активных клиентов. Мы отвечаем за персонализацию промо-механик в приложении «Магнит»: персональные предложения, цели и задания. Наша задача — не просто предсказать, что…
Junior ML engineer in a bank's risk management team, developing and monitoring classification, uplift, and regression models (price elasticity, early repayment and loan disbursement prediction, interest rate uplift) for credit products. Core stack: Python (catboost, xgboost, lightgbm, scikit-learn), SQL, pandas, and visualization tools.
Data engineer at Alfa-Bank building and maintaining ETL/ELT pipelines and analytical data marts for SME credit-risk reporting, integrating sources from DWH, operational databases, files and APIs. Core stack: SQL, Python, Spark, Airflow-class orchestration, analytical DBMS (Greenplum/ClickHouse/etc.) and Power BI/Tableau dashboards.
The Data Analytics Engineer on Toss Bank’s Data Warehouse team builds and operates large‑scale data pipelines and marts using Hadoop, Python/PySpark, Spark, Airflow and Data Mesh/Medallion architectures to ensure data quality and provide reliable data for the company.
Lead data warehouse developer at a sports betting company: builds and designs the corporate DWH on Greenplum, develops and maintains streaming pipelines (Kafka/RabbitMQ → RisingWave/Apache Flink) orchestrated with Airflow, using Python and PL/pgSQL. Hybrid, remote, or office in Moscow.
Senior or Middle Data Analyst at an international iGaming holding, working fully remote from Cyprus. Focuses on marketing and business analytics: measuring ROI/ROMI, ROAS, LTV, CPA, cohort and retention analysis, building automated dashboards and data models using SQL, Python and Excel to drive data-driven business decisions.
Data Engineer in C&D Foods' Group IT team (Head Office in Mullingar, Ireland or Manchester, UK) building and maintaining data pipelines, SQL data warehouse and dimensional models, semantic models, Power BI dashboards, and Power Automate workflows for a large pet food manufacturer, with heavy focus on data preparation, cleansing, and data quality across cloud, on-premise, and hybrid Microsoft-centr
Senior BI analyst on the data team of an EdTech company (ИнтернетУрок): designing and building DataLens dashboards, formalizing metrics and reusable datasets, moving calculations into ClickHouse, and tasking data engineers with Airflow automation, plus 20-30% ad-hoc analysis in SQL/Python.
Senior engineer driving AI/ML adoption across Gresham's financial data automation products: designing and deploying LLM-powered apps, RAG/semantic search, and AI agents, plus building scalable AI services on enterprise data platforms. Core stack: Python, LangChain/LlamaIndex, MCP, AWS, Databricks/Spark.
Data Engineer at Asian Pac Holdings in Kuala Lumpur, splitting time ~70% on data infrastructure (Airflow-orchestrated pipelines, Azure/AWS cloud, data lake/warehouse) and ~30% on applied AI (LangChain/CrewAI agents, RAG pipelines) supporting property-development analytics.
A data engineer in Kuala Lumpur who designs and maintains cloud data pipelines (Azure/AWS) orchestrated with Airflow, supporting property-development analytics — with roughly 30% of the role focused on building AI agent solutions using CrewAI/LangChain and RAG pipelines.
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