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安全大模型技术专家
Meituan is hiring a Security LLM Technical Expert in Beijing to design and build security-focused large language models and AI agents for intrusion detection, threat detection/hunting, and automated response (SOAR), plus architect a PB-scale security data lake. Core stack: LLMs, multi-agent systems, and Kafka/Spark/Flink streaming.
DATA ENGINEERING EXPERT I - DATA HUB RIESGOS - AI TRANSFORMATION & ENGINEERING COLOMBIA
Data engineer at BBVA Colombia's risk Data Hub: manages end-to-end ingestion, transformation, and delivery of data into the Data Lake, plus quality rules, metadata, lineage, deployments, and monitoring. Core stack: Spark, Scala, Python, HDFS, Control-M, CI/CD, and BI tools like Power BI.
Data Engineer
Hands-on tech lead owning Quicklizard's end-to-end data architecture for its dynamic pricing platform: designing large-scale batch and streaming ETL pipelines, data lake modeling on AWS/GCP (Spark, Airflow, BigQuery, Kafka), query/cost optimization, and mentoring a team of data engineers while still writing code.
Software & Data Engineer – Banking (CIB)
BluePearl Consulting seeks a Software & Data Engineer for a 12-month (extendable) contract in a Corporate & Investment Banking team in Rosebank, Johannesburg — hybrid, ~3 days onsite. The role builds data pipelines, reusable Python components, ETL/ELT workflows and cloud processing on AWS (S3, Glue, Lambda, Redshift, EMR) with Spark/Kafka, CI/CD and automated testing.
Data Engineer – Banking (CIB)
Contract Data Engineer (12 months, extendable) placed by BluePearl Consulting into a Corporate & Investment Banking team in Rosebank, Johannesburg; hybrid, ~3 days/week onsite. Builds ETL/ELT pipelines, data models and AWS data platforms using SQL, Python, Spark, Kafka and services like Glue, Redshift and Airflow.
Snowflake Data Engineer with German
Data engineer building Snowflake-based cloud data platforms for a German enterprise client: production ETL/ELT pipelines, dbt models, warehouse tuning, and Data Lake/Lakehouse work. Hybrid from Warsaw, Cracow, Gdansk, or Wroclaw; requires strong SQL, Python, dbt, cloud skills and B2 German.
Azure Data Engineer
Senior data engineer (5+ years) at Vizrt in Stockholm who builds and runs an Azure-based analytical data platform: integrating CRM/ERP and internal tools via Logic Apps, Data Factory and APIs, and owning ingestion, transformation and semantic modeling (SQL, Python, Synapse, Databricks) for analytics, reporting and billing.
Senior Data Engineer
Senior Data Engineer on the Data Management team at IOL InvertirOnline, an Argentine online brokerage (fintech). Day to day: building batch and streaming pipelines on Databricks (Delta Lake, Spark), evolving the Medallion lakehouse, ensuring data quality and governance with Great Expectations and Unity Catalog, monitoring production pipelines, and mentoring less senior engineers.
Data Engineer III
Onsite Data Engineer III in Norfolk, VA (Secret clearance required) supporting Navy/NAVSEA programs: analyzing large datasets, building Power BI/Qlik/Tableau dashboards, writing SQL and Python data pipelines, and working in AWS cloud data environments to improve data governance and decision-making.
Senior Data Platform Engineer
Senior Data Platform Engineer building a governed data sharing platform using PostgreSQL, Kafka, Debezium CDC, DataHub, and Kubernetes to enable contract-driven data publishing and consumption across Smartly's ad tech systems.
Forward Deployed Engineer
Oligo Security, a runtime cybersecurity startup, seeks a Forward Deployed Engineer in Tel Aviv to be the hands-on technical lead for its largest accounts — owning deployments, building custom integrations, tuning runtime policies, and debugging systems-level issues alongside R&D. Core stack includes Linux, Kubernetes, containers, eBPF, Python/Go/Bash, and SIEM/SOAR integrations.
Data Engineer | Dynamic Tier 1 Investment Management Firm
Senior data engineer building and maintaining a modern data platform (ingestion, ETL, data quality, storage, APIs) for portfolio managers and quants at a Tier 1 investment management fund in London. Core stack includes Python, SQL, distributed data components (Kafka, Redis) and columnar formats like Parquet/Arrow.
Senior Data Engineer - Hybrid (MS Fabric & Azure)
Senior Data Engineer near Dudley (hybrid, one office day per week) who owns the data lake, drives Microsoft Fabric adoption and builds scalable pipelines from APIs, files and internal systems. Works with Finance and Commercial teams to deliver BI-ready datasets, dashboards and models on Azure.
BI & Data Engineer – Power BI, SQL & Azure
Business Intelligence Developer / Data Engineer for 2M Group of Companies, building Power BI reports and data pipelines with SQL, Python and Spark across data warehouses, lakehouses and data lakes. Hybrid role based in Weston Super Mare with travel across group locations.
Azure Data Engineer: Cloud Analytics & ETL Expert
Data Engineer designing, developing, and implementing data solutions on Azure — using Data Factory, Databricks, Synapse Analytics, and Data Lake Storage. Day to day involves working with clients and internal teams to gather requirements, troubleshoot data issues, deliver scalable analytics, and mentor junior engineers.
Lead Data Platform Engineer — Remote
WeMaintain is hiring a Lead Data Platform/Analytics Engineer to partner with the CTO on data strategy. Day to day: owning the data lake and dbt/BigQuery stack, hands-on data ingestion and modeling, defining KPIs, and building operational insights for a 350-person operation across the UK, France, Singapore, and Hong Kong.
Data Platform Engineer
Data engineer on Depop's Data Platform team, building and maintaining Kafka streaming pipelines and Kafka Connect services, extending the bronze data lake layer, and implementing data contracts and freshness checks. Core tech: Kafka/streaming, Scala, Kotlin and Python, working closely with ML and Insights teams.
Data Engineer - Onsite Heathrow (6-Month Contract)
6-month contract (inside IR35), recruited by Lorien, for an onsite Data Engineer at Heathrow, London: building batch/streaming data pipelines, warehouse and lake data models, and enabling analytics/ML use cases. Core stack is SQL, Python, and AWS cloud data platforms; a consultancy background (McKinsey, BCG, Deloitte, etc.) is mandatory.