Data Engineer – Dataiku

Description

Summary: As a Data Engineer, you will work at the intersection of data, technology, and business, helping build scalable and reliable data solutions that support critical processes. Highlights: 1. Design, develop, and maintain Dataiku workflows and data pipelines. 2. Collaborate with multidisciplinary teams in an international environment. 3. Contribute to enterprise-scale data transformation initiatives. **About Keyrus** ---------------- Keyrus is a global consulting and technology company focused on **architecting intelligence**, helping organisations transform data, digital capabilities, and AI into sustainable business value. Founded in 1996, Keyrus operates in **28\+ countries across 5 continents**, with more than **3,300 people worldwide**. Our strength comes from combining deep expertise in **Data \& Analytics, AI, Digital, and Management Consulting** with a strong understanding of business realities. Data is never the goal in itself. We use data to **shape understanding, design meaningful experiences, and enable better, real\-life decisions**. At Keyrus, we also believe companies have a responsibility beyond performance. Through our **Foundation and ESG initiatives**, we actively contribute to sustainability, inclusion, and positive societal impact. **\#OneTeamOneKeyrus** **The Role** ------------ As a **Data Engineer**, you will work at the intersection of **data, technology, and business**, helping build **scalable and reliable data solutions** that support **critical business, regulatory, and operational processes**. You will collaborate with **multidisciplinary teams** in an **international environment** and contribute to **enterprise\-scale data transformation initiatives**. **Job location:** Porto or Lisbon (Hybrid) **Contract type:** Employee **Target start date:** ASAP **Working hours:** Full\-time (40h/week) **Compensation:** €40,000 – €55,000/year **Note:** All applications (CVs) must be submitted in English. **Your Impact** --------------- In this role, you will: * Design, develop, and maintain **Dataiku workflows and data pipelines**. * Build **data ingestion, transformation, and reconciliation processes**. * Develop **SQL and Python solutions** supporting business requirements. * Implement **data quality controls and monitoring mechanisms**. * Translate **business needs into scalable technical solutions**. * Support **data governance and lineage initiatives**. * Contribute to **workflow automation and process industrialization**. **What Makes This Role Challenging** ------------------------------------ * You will manage **complex data ecosystems and large datasets**. * **Data quality and reliability** are critical to business operations. * You will balance **technical excellence with business needs**. * You will collaborate across **multiple teams and stakeholders**. **What We’re Looking For** -------------------------- ### **Must\-haves** * Bachelor's or Master's Degree in **Computer Engineering, Computer Science, Information Systems, Data Engineering, or related field**. * 3\+ years of experience in **Data Engineering, Data Management, or Data Analytics**. * Strong **Dataiku DSS experience**. * Advanced **SQL and Python skills**. * Experience with **ETL/ELT processes**. * Experience building **data pipelines and workflow automation solutions**. * Knowledge of **data quality and reconciliation frameworks**. * Strong **problem\-solving and communication skills**. * Fluency in **English (B2 minimum)**. * Must be a **Portuguese or European citizen**, or hold a valid work permit for Portugal. ### **Nice\-to\-haves** * **Banking or Financial Services** experience. * **Power BI**. * **Alteryx**. * **Data Governance and Data Lineage knowledge**. * **Cloud Data Platforms**. * **French language skills**. **How Our Salary Ranges Work** ------------------------------ At Keyrus, salary ranges reflect **different levels of mastery and impact within the same role** — not different job titles. * **Bottom of the range** You meet the core requirements and will need ramp\-up time and support. * **Middle of the range** You are fully autonomous from Day 1 and deliver consistently. * **Top of the range** You are a reference for the role, mentor others, and raise the bar for the team. Final offers are based on **experience, autonomy, scope, and market context**, and are discussed transparently during the process. **What We Offer at Keyrus Portugal** ------------------------------------ * Competitive salary aligned with your experience and the data market * Meal allowance: **€10\.20/day** * Flexible benefits plan * Private medical insurance * **22 days of annual leave**, increasing every 3 years (up to 25 days) * Continuous learning via **KLX – Keyrus Learning Experience** * A collaborative, international, and human\-centred work environment **Why Keyrus?** --------------- Joining Keyrus means joining: * A **market leader in Data Intelligence** * A company where **people, trust, and diversity** are core values * An environment that values **ownership, flexibility, and innovation** * A place where different backgrounds and perspectives are not just welcomed \= they are essential We believe diversity drives better thinking, stronger teams, and better outcomes. Everyone belongs at Keyrus. **At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.** To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for **note\-taking purposes during interviews**. AI is **never** used to make hiring decisions or evaluate candidates. To ensure **fairness, authenticity, and the protection of confidential and proprietary information**, the use of AI tools by candidates during the recruitment process is **strictly prohibited**. Our commitment to **responsible AI practices** ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise. ️ **Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.** **Equal Opportunity Statement** ------------------------------- We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.