Data Engineer en España

We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers’ IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace.

With over 1200 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees ‘Nexthinkers’ and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages.

If you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer:

• 💼 Competitive compensation package.
• 📍 Amazing centrally located offices near the Bernabeu Stadium.
• 🩺 Private Health Insurance (Sanitas) and daily meal vouchers of 11 EUR will be entirely covered by us.
• 🏡 Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding.
•  🏖️ Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 23 days of holidays we offer) plus 3 company-paid volunteer days.
• 🤸 Up to 25 EUR per month for a gym subscription.
• 🛴 Flexible compensation plan for childcare & public transportation.
• 🧑‍🏫 Reimbursement of up to 50% of the cost of English & Spanish classes.
• 🍉 Fresh fruit, cookies, soft drinks and protein shakes at the office.
• 🍕 Regular company and team events like Pizza talks, Team Building activities, Christmas parties, hosting Meetups at the office and more!
• 📣  Bonuses for referring successful hires after three months of continuous employment.
• 🚚 We offer a relocation package to people who are coming from another country.

Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner.

The base salary for this role is €31,000 – €53,000 gross per year, with a total on-target earnings (OTE) range of €35,000 – €59,000 including an annual performance bonus. You'll also be part of our broader total rewards package — including benefits tailored to where you live and how you work best.

We set our pay ranges using objective criteria: the scope and level of the role, the skills it takes to do it well, and the relevant market data. Ranges are reviewed every year to remain competitive and fair. We're transparent about this because we think you deserve to know what you're working towards from day one.  In accordance with the EU Pay Transparency Directive (2023/970), we publish salary ranges on every Nexthink role. We won't ask what you currently earn or your previous salary. What matters to us is what this role is worth and whether it works for you. Nexthinkers come from all kinds of backgrounds, and that's what makes us stronger. We welcome applications from everyone.

Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,500 customers to provide better digital experiences to more than 25+ million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide.

We are seeking a skilled and intellectually curious Data Engineer to join our team. In this role, you will design and maintain robust data pipelines, transform complex datasets into actionable insights, and build the analytical infrastructure that drives strategic decision-making. You are autonomous, analytically minded, and thrive in environments where the problem is not always well-defined.

Key Responsibilities

Data Engineering & ETL

• Design, develop, and maintain end-to-end ETL/ELT pipelines to integrate data from multiple sources.
• Ensure data quality, consistency, and reliability through validation, cleansing, and monitoring processes.
• Build and optimize data models to support reporting and analytics at scale.
• Explore and integrate LLM and AI capabilities into our data workflows, turning raw data into insights that explain themselves.

Data Analysis & Visualization

• Conduct in-depth analysis to uncover trends, patterns, and business opportunities.
• Develop interactive Power BI dashboards and reports that communicate insights clearly to technical and non-technical stakeholders.
• Apply DAX calculations and Power Query transformations to deliver performant, maintainable reports.

Performance Monitoring & Reporting

• Define, track, and report on key performance indicators (KPIs) across business units.
• Proactively identify opportunities to improve data processes and reporting efficiency.
• Optimize reports and data models for scalability across large datasets.

Cross-Functional Collaboration

• Partner with teams across the organization to translate business needs into data solutions.
• Act as a subject matter expert in data engineering and analytics, supporting colleagues with guidance and best practices.
• Participate in interdisciplinary projects that require both technical depth and business acumen.

• 4+ years of experience in a data analyst, data engineer, or similar role.
• Proven experience with ETL/ELT pipeline development.
• Advanced proficiency in DAX and Power Query for data modeling and report development.
• Strong SQL skills for querying, transforming, and managing relational data.
• Strong Python skills, including data manipulation, automation, and pipeline scripting; experience with testing and code quality practices is a plus.
• Experience building interactive Power BI reports from multiple data sources.
• Analytical, curious, and autonomous — comfortable navigating ambiguous problems independently.
• Strong communication skills, with the ability to present findings to both technical and business audiences.
• Fluency in English (additional languages are a plus).

Preferred

• Experience with Microsoft Fabric.
• Familiarity with Azure Data Factory for orchestrating data workflows.
• Exposure to Azure Synapse Analytics for large-scale data processing.