Senior Analytics Engineer

About the role

Wallapop is a Barcelona-based scale-up focused on making the circular economy a mainstream reality. You will lead the design and maintenance of our data infrastructure, ensuring it is accessible and impactful across the entire organization. In this capacity, you will own the end to end lifecycle of our analytical assets, from initial discovery through to production deployment and ongoing optimization. You are expected to act as a technical visionary, defining the future state of our data platforms in line with business strategy. A significant portion of your work will involve translating ambiguous business problems into well defined data initiatives. You will be responsible for ensuring that our data stack remains robust, scalable, and aligned with industry best practices. This role requires a proactive mindset that anticipates needs rather than simply reacting to requests. Ultimately, your contributions will directly influence the efficiency and decision making capabilities of the entire company.

Key facts

What you'll do

• Architect and construct resilient data infrastructure that consolidates inputs from diverse sources to power advanced analytics.
• Conduct in depth evaluation of external analytics platforms and tools to identify optimal solutions for our requirements.
• Develop intuitive interactive dashboards and strategic reports that provide clear visibility into key performance indicators for stakeholders.
• Collaborate closely with cross functional teams to clarify data requirements and engineer scalable solutions that address their specific needs.
• Guide and mentor junior engineers by sharing knowledge and providing constructive feedback to elevate the entire team.
• Preserve comprehensive documentation for all analytics processes to facilitate smooth onboarding and ensure long term scalability.
• Implement efficient data modeling techniques that enhance query performance and support complex analytical queries.
• Optimize existing data pipelines to reduce latency and improve reliability while maintaining data integrity.
• Partner with product teams to define metrics and experiments that validate hypotheses and drive product improvements.
• Establish monitoring frameworks to detect anomalies and ensure the health and performance of critical data systems.
• Lead the selection and implementation of data governance policies to maintain security and compliance standards.
• Translate complex technical concepts into clear narratives for non technical audiences to foster data literacy.
• Coordinate with infrastructure teams to ensure that our data environments are highly available and cost effective.
• Continuously explore new technologies and methodologies to keep our analytics capabilities at the forefront of the industry.

Requirements

• Demonstrate proficiency in Python and SQL with the ability to write efficient and maintainable code.
• Show a strong understanding of big data technologies and distributed computing principles.
• Highlight expertise in ETL processes, data integration, and the construction of reliable data pipelines.
• Provide evidence of experience working with cloud environments, specifically Amazon Web Services and its core services.
• Detail background in developing and deploying dashboards using business intelligence tools such as Looker or Tableau.
• Show advanced knowledge of data analytics methodologies and best practices for data modeling.
• Illustrate the ability to manage projects, timelines, and resources independently while meeting deadlines.
• Emphasize strong communication skills necessary for effective cross functional collaboration and stakeholder management.
• Prove capability to work in a fast paced startup environment with frequent changes in priorities and scope.
• Indicate experience working with version control systems, particularly Git, for managing data infrastructure code.

Nice to have

• Experience presenting data insights to non technical senior leadership in a clear and impactful manner.
• Familiarity with AI tooling for governance and automation to enhance data operations and decision making.

Practical notes

• The work arrangement for this position is hybrid, requiring a minimum of 6 days of in office presence per month.
• The company provides a relocation support package and visa sponsorship for eligible candidates.
• The annual leave allowance consists of 26 days per year for personal time and rest.
• The selection process for this role includes a remote introductory conversation, a take home test with a deadline of 5 to 7 days, an expertise interview, a stakeholder interview, and a culture interview.
• Compensation details regarding specific figures are not disclosed in this public listing.
• This role is based in Barcelona and is subject to local employment regulations and tax requirements.
• New hires can expect a comprehensive onboarding process to familiarize themselves with the company values and tools.
• The successful candidate will have access to extensive learning resources with an annual budget dedicated to professional development.
• The company maintains a flexible remuneration policy that includes tax optimized options and additional product benefits.
• Health and wellness are prioritized through private health insurance coverage and a dedicated wellness plan.
• Technical requirements include the provision of a home office setup payment, a monthly Wi-Fi contribution, and access to top tier hardware such as Apple or Windows devices.
• This position is part of a growing team that values diversity, equity, and inclusion in the workplace.
• The role requires a commitment to continuous improvement and a willingness to adapt to evolving business needs.
• Collaboration is central to the position, and the ability to work effectively within a team environment is essential.
• The successful applicant will be responsible for driving innovation and maintaining high standards of quality in data practices.
• This is an excellent opportunity for a motivated individual to grow their career within a dynamic and impactful organization.