科技職缺
職缺列表
Consultant – Data Analyst
Consultant-level Data Analyst at Sia in Paris who analyzes data, builds visualizations and reporting/KPI solutions, gathers business requirements, and partners with technical stakeholders to ensure data quality.
Senior Data Engineer
Senior Data Engineer building and evolving the data platform — designing batch and streaming pipelines, time-series models, and high-performance data APIs while advancing agentic tooling.
Procurement Specialist
Role Purpose As a Procurement Specialist , you will play a key role in ensuring material availability to support production and maintain operational continuity across Neko Health. Working within the Sourcing &…
Data Engineer (Snowflake / SQL)
Remote Data Engineer building and maintaining data solutions on a Snowflake/SQL platform for a life sciences client, working with large datasets, ETL/ELT pipelines, and modern cloud-based data engineering practices.
(Senior) Quantitative Risk Analyst (Credit Risk)
Job ID: 6128 Would you like to take a central role in shaping Nordea’s credit risk modelling landscape and add real business value for Nordea? Then this opportunity is for you. We are looking for a (Senior)…
Operations Specialist
About PDSVISION PDSVISION is a global provider of IT solutions and services, supporting companies in areas such as product development, manufacturing, and aftermarket services. We work with technologies including PLM,…
Senior Data Engineer (Cloud, Data Integration & Migration)
Senior data engineer building cloud-based data integration and migration solutions, designing ETL/ELT pipelines, data warehouses/lakes/lakehouses, and supporting data governance and quality.
Senior Software Engineer with Data Quality
Senior engineer on a Data Quality team spending ~70% of time investigating and fixing bad data in BigQuery at scale, plus building JVM backend remediation tooling (Kotlin/Java, Spring Boot) across GCP, Snowflake, Bigtable, and Apache Beam.
Data Project Manager
Data Project Manager at NSUSLAB Korea (the studio behind a Global #1 poker game and expanding casino products) leading large-scale Data Warehouse and global Data Compliance projects end-to-end, coordinating with development, analytics, legal, and business teams across regions.
AI Backend / Data Platform Engineer
Build the backend and data infrastructure for Astta's AI commerce marketing platform Moast, integrating external platform APIs (Cafe24, GA4, Meta Ads, Instagram), designing BigQuery-based ETL/ELT pipelines and data models, and developing the query backend powering AI marketing analysis agents.
Senior Data Analyst
Senior Data Analyst working at the intersection of data, product, and machine learning for an AI-powered e-commerce search platform. Analyzes user behavior, designs A/B tests, defines metrics, and builds dashboards using SQL, Python, and distributed data systems to influence product decisions.
Java developer
Salary: 1000 - 1300 PLN/MD on B2B Work model: hybrid from Gdańsk (1 day per week from the office) Why choose this offer? Work in a fintech environment on complex financial instruments and calculations End-to-end…
People Operations Manager – HR x AI x Business
Location – Gothenburg, Sweden (Group Head Office) Picadeli - a leading global food-tech company in healthy fast food with 2500 salad bars across Europe and the US. We offer an innovative and intelligent salad bar…
Senior Sales Analyst
Our Sales Operations team is looking for a Senior Sales Analyst to help transform data into insights that support business decisions and drive commercial success. In this role, you will work closely with sales…
People & Data Analytics Specialist
6-month contract role focused on workforce data engineering and analytics in Melbourne, supporting data pipelines, ETL integrations, and Power BI reporting within a people analytics team using Databricks and data lake environments.
Software Engineer (AI-Native)
Designs, develops and supports business applications for a bulk haulage company using Python/Django and TypeScript/React with SQL data validation. Focuses on system integrations, AI-assisted development, thorough testing and reliable production operations across web servers, databases and cloud platforms.