数据与洞察工程师，客户解决方案
Data & Insights Engineer, Customer Solutions
职位详情申请
### 职位描述
#### **关于 Daltix**
Daltix 帮助领先的快消品和零售公司利用可靠、易获取且精心整理的产品数据做出更好的决策。
每天，我们收集、标准化并交付大规模的价格、促销、产品和商品组合数据。我们的客户——包括 Colruyt Group、YouGov 和 Danone 等公司——使用这些信息来了解他们的市场、监控竞争对手并发现商业机会。
数据质量是我们工作的核心。我们消除收集和准备零售数据的复杂性，让客户可以专注于使用这些数据。
#### **关于该职位**
我们正在招聘一名 **数据与洞察工程师 – 客户解决方案**，这是一个需要亲力亲为、面向客户的职位，连接数据工程与分析。你将构建数据管道和模型，分析大规模零售数据集，并直接与客户合作，将业务需求转化为实际的技术解决方案。
与我们的工程、数据科学和产品团队协作，这个职位适合那些在解决技术问题和向非技术人员传达发现方面都表现出色的人。
你的工作时间通常会分配如下（百分比为示例，可能根据客户项目有所不同）：
- **50% 数据工程：** 构建和维护管道、模型和客户数据集
- **25% 分析与洞察交付：** 探索数据并生成报告、仪表盘和建议
- **20% 产品与商业支持：** 识别可复用的解决方案并参与项目规划
- **5% 客户协作：** 参与研讨会，定义需求并支持客户
#### **你将负责**
**数据工程与可靠性**
- **管道与模型：** 设计、构建和维护 SQL/Python ETL/ELT 管道、数据模型和面向客户的数据集。
- **零售数据：** 处理大规模的产品、价格和促销数据。
- **质量与运维：** 确保数据准确性，监控管道/仪表盘，解决故障，并提升系统可扩展性。
**分析与洞察**
- **解决方案：** 使用 Daltix 工具创建报告、仪表盘和分析解决方案。
- **沟通：** 向技术和业务受众清晰地传达洞察。
**客户参与**
- **需求：** 运行客户研讨会，将业务需求转化为技术交付物，并根据反馈进行迭代。
- **支持：** 推动产品采用，协助用户，
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Job detailsApply
### Job description
#### **About Daltix**
Daltix helps leading FMCG and retail companies make better decisions using reliable, accessible and carefully curated product data.
Every day, we collect, standardize and deliver large-scale data on prices, promotions, products and assortments. Our customers—including companies such as Colruyt Group, YouGov and Danone—use this information to understand their markets, monitor competitors and identify commercial opportunities.
Data quality is central to what we do. We remove the complexity of collecting and preparing retail data so our customers can focus on using it.
#### **About the role**
We are hiring a **Data & Insights Engineer – Customer Solutions** for a hands-on, customer-facing role bridging data engineering and analytics. You will build data pipelines and models, analyze large-scale retail datasets, and work directly with customers to turn business needs into practical technical solutions.
Collaborating with our engineering, data science, and product teams, this role is ideal for someone who excels at both solving technical problems and communicating findings to non-technical stakeholders.
Your time will typically be divided between (indicative percentages—may vary by customer project):
- **50% Data Engineering:** Building and maintaining pipelines, models and customer datasets
- **25% Analysis & Insight Delivery:** Exploring data and producing reports, dashboards and recommendations
- **20% Product & Commercial Support:** Identifying reusable solutions and contributing to project scoping
- **5% Customer Collaboration:** Participate in workshops, defining requirements and supporting customers
#### **What You’ll Do**
**Data Engineering & Reliability**
- **Pipelines & Models:** Design, build, and maintain SQL/Python ETL/ELT pipelines, data models, and customer-facing datasets.
- **Retail Data:** Process large-scale product, price, and promotion data.
- **Quality & Ops:** Ensure data accuracy, monitor pipelines/dashboards, resolve failures, and improve system scalability.
**Analytics & Insights**
- **Solutions:** Create reports, dashboards, and analytical solutions using Daltix tools.
- **Communication:** Present clear insights to both technical and business audiences.
**Customer Engagement**
- **Requirements:** Run customer workshops, translate business needs into technical deliverables, and iterate on feedback.
- **Support:** Drive product adoption, assist users, and resolve data/reporting inquiries.
**Tech Tools**(Our tech stack evolves—you are not expected to know every tool before joining)
- **Hardware & OS:** MacBook or Framework running Linux
- **Data & Storage:** SQL, Snowflake, PostgreSQL
- **Code:** Python, uv, Pandas
- **Orchestration & Infra:** Apache Airflow, Docker, Kubernetes
- **Internal Tools & Ops:** Retool, Git, Jira
- **Collaboration & AI:** Google Workspace, Slack, modern AI/LLM tools (e.g., Claude)
#### **How we work**
- **Team & Structure:** Join a 4-person team reporting to the Head of Product Delivery, collaborating closely with Data/Platform Engineering, Data Science, and Product Delivery.
- **Autonomy & Support:** Take ownership of work backed by pairing, code reviews, mentoring, and clear documentation.
- **Slack Availability:** Active on Slack UTC 08:30–15:00 (includes a flexible 1-hour lunch break).
- **On-Call & Monitoring:** Monitor customer deliverables on a rotational basis during normal working hours only (no out-of-hours on-call).
### Job requirements
#### **What We’re Looking For**
Strong fundamentals, practical problem-solving skills, and a desire to learn matter more than knowing every tool in our stack.
##### **Requirements**
**Core Tech**: Strong SQL (relational/analytical DBs) and practical Python (e.g., Pandas).
**Data Engineering:** solid understanding of ETL/ELT, data warehousing, data modeling, and handling large datasets.
**Workflows & Mindset:** Git/collaborative workflows, strong analytical problem-solving, and ability to turn business questions into technical deliverables.
**Communication & Education:** Professional English, confidence with customers/non-technical stakeholders, and a relevant degree (e.g., CS, Business Engineering, Applied Economics) or equivalent experience.
**Domain Interest:** Eagerness to learn FMCG, retail, and pricing analytics.
**Location & Travel:** Remote (Europe) or Lisbon-based, requiring ~4 short trips per year (1 to Benelux clients, 3 to Lisbon engineering team) with travel and accommodation expenses fully covered by Daltix.
##### **Nice to have** (but not a requirement)
**Stack & Tools:** Snowflake, PostgreSQL, Airflow, AWS, Docker, Kubernetes, BI tools (Power BI, Tableau, Retool), and notebook environments (Jupyter, Marimo).
**Specialized Tech:** Data matching, entity resolution, and AI coding/analysis tools.
**Domain & Delivery:** FMCG/retail/pricing experience, customer-facing consulting, or project delivery.
**Languages:** Dutch or German.
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