Project Description

We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure.

Technologies

• SQL (PostgreSQL, MySQL or similar)
• Python (or another scripting language)
• Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a plus
• Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus

What You'll Do

• Assist in the design, development, and maintenance of scalable data pipelines;
• Support data integration from various sources (databases, APIs, flat files);
• Help ensure data quality, consistency, and reliability;
• Collaborate with data analysts and data scientists to understand data requirements;
• Participate in code reviews and contribute to technical documentation;
• Monitor and troubleshoot data workflows, resolving issues as they arise;

Job Requirements

• 1+ years of practical experience or relevant internship in a data-focused role (preferred);
• Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience);
• Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server);
• Familiarity with at least one programming language (preferably Python);
• Understanding of ETL concepts and data warehousing fundamentals;
• Eagerness to learn new technologies and best practices in data engineering;
• Strong problem-solving skills and attention to detail;
• Effective communication and teamwork abilities;
• English level: Intermediate (B1) or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores, and other local shops delivered to home or to the office. Our local commerce platform makes it easy for customers to order whatever they need on one app, for merchants to make additional sales, and for couriers to make meaningful earnings flexibly. To enable this, Wolt develops a wide range of technologies from local commerce platform to retail software and financial solutions, as well as operates its own grocery stores under the brand Wolt Market. Wolt was founded in 2014 and joined forces with DoorDash in 2022.

Our Finance team has played a key role in our growth journey, and as we continue to scale, we are looking for an Accounts Receivable Team Lead. Reporting to the AR Manager, you will lead a multinational team of 7–8 members. Your mission is to drive the transformation of the AR function from a highly operational setup to a more automated, insight-driven organization. You will have a high level of autonomy to "build and break"—leveraging resourceful data to simplify processes and reduce manual work.

What you’ll be doing

• Lead & Develop: Foster a high-performance culture for a team of 7 people, providing coaching, clear prioritization, and leading by example.
• Portfolio Ownership: Own the AR portfolio end-to-end with full accountability for aged receivables, collections performance, and cash flow, and proactive credit risk mitigation.
• Drive Transformation: Identify automation opportunities and partner with Product, Engineering, and Data teams to implement scalable solutions.
• Strategic Collections: Design and improve scalable collections frameworks to increase efficiency and reduce overdue balances.
• Leverage Technology: Leverage data and emerging technologies (including AI tools) to improve collections and decision-making.
• Stakeholder Collaboration: Act as a key contact for Sales, Finance, and senior stakeholders, providing insights on risk and performance.
• Compliance & Excellence: Support audits and ensure strict compliance with internal controls while overseeing daily operations like cash application and dispute resolution.

Our humble expectations

• Experience: Hands-on experience in Accounts Receivable, specifically in collections and cash application processes.
• Leadership: Proven track record of leading or mentoring teams, ideally in an international or multicultural environment.
• Impact: Demonstrated ability to build or scale collections frameworks and drive process improvements that reduce manual workload.
• Technical Savvy: Advanced Google Excel and workflow automation skills, Data integration flows; while not required to build them, you can translate business needs into technical requirements for Product/Data teams.
• Mindset: A proactive, solution-oriented mindset with the ability to thrive in a fast-paced, high-growth environment.
• Communication: Fluency in English is required as you will collaborate with diverse global teams.
• Systems (Plus): Experience with NetSuite, Tableau, or automation tools (e.g., Snowflake, Make) is a significant advantage.

So, why work at Wolt? 

At Wolt, we’re about getting things done.

You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.

We work hard to make cities into better places, and it’s pretty cool seeing us grow every week. If you’re passionate about building things that just… work, Wolt might be for you.

We are looking for a Junior Business Intelligence Analyst to work on a specific project under a fixed-term contract. You will support data-driven decision-making across our Operations teams. This role is ideal for someone early in their career who is eager to develop analytical skills while working closely with business stakeholders in a fast-paced, operational environment.

Key Responsibilities

• Clean, validate, and transform data to support operational reporting and analysis
• Build and maintain dashboards and reports using tools Tableau or Foundry
• Monitor and track key operational KPIs and performance metrics
• Deliver recurring reports accurately and on time to relevant stakeholders
• Perform basic analysis to identify trends, patterns, and anomalies in operational data
• Support ad-hoc requests and provide clear, actionable insights  
• Collaborate with cross-functional teams to improve reporting processes and data quality
• Follow BI standards, data governance, and best practices

Requirements

• Basic experience with SQL and data analysis
• Basic familiarity with BI tools (Tableau, Power BI or similar)
• Advanced English proficiency (C2 level required)
• Strong skills in PowerPoint (PPT) for presenting insights and results
• Strong attention to detail and data accuracy
• Good analytical and problem-solving skills
• Clear communication skills, with the ability to explain data to non-technical stakeholders
• Proactive mindset and willingness to learn in an operational environment

Nice to Have

• Degree or studies in Data Analytics, Business, Finance, Computer Science, or a related field
• Experience supporting Operations or business teams
• Understanding of operational KPIs and performance metrics
• Exposure to data visualization and storytelling best practices

The salary for this position starts from 1800 gross/month, depending on your experience. 

This role is designed for a "Hub-and-Spoke" organizational model. The Head of Data will not manage the day-to-day tickets of embedded analysts but will own the Data Strategy, Infrastructure, and Standards that allow those analysts to be successful and consistent across the company.

Role Mission

As the Head of Data, the mission is to transform a decentralized data landscape into a unified, high-performance ecosystem. Head of Data will bridge the gap between autonomous product squads and a centralized data vision. Head of Data is the architect of our data culture, ensuring that while analysts sit within different business units, they operate with a common language, world-class tools, and uncompromised data integrity.

Key Responsibilities

Strategic Leadership & Governance

• Unified Data Strategy: Define and execute a global data roadmap that aligns with company-wide OKRs.
• Standardization: Define universal metrics (e.g., "Active User," "Revenue") to ensure a single source of truth across all departments.
• Data Governance: Set policies for data privacy, security, and compliance (GDPR) without bottlenecking the speed of the product teams.

Platform & Infrastructure

• Modern Data Stack: Own the selection and maintenance of our data warehouse (e.g., Snowflake/Redshift), transformation layers (dbt), and BI tools (Looker/Tableau).
• Data Engineering Oversight: Lead the core data engineering efforts to ensure a robust ETL/ELT pipeline that serves the decentralized "spokes."
• Self-Service Enablement: Build the infrastructure that allows non-technical stakeholders to access insights without needing an analyst for every query.

Functional Excellence & Community

• The Data Guild: Create and lead a "Data Guild" or "Community of Practice" to facilitate knowledge sharing, peer reviews, and mentorship among embedded analysts.
• Talent Bar: Define the hiring standards, leveling rubrics, and career paths for all data roles across the company. 
• Best Practices: Drive the adoption of version control (Git), documentation, and automated testing (Data Quality) within the analytic workflows.

Business Impact & Culture

• Data Literacy: Act as an evangelist for data-driven decision-making, coaching C-suite and Product Leads on how to better leverage data.
• Resource Allocation: Partner with Department Leads to identify where data gaps exist and advocate for the placement of analysts in the highest-impact areas.

Key Requirements

Strategic Leadership & Organizational Design

• Architectural Strategy: 6+ years of experience in Data/Analytics, with a proven track record of scaling "Hub-and-Spoke" or Data Mesh models. Demonstrated ability to balance centralized governance with decentralized execution speed.
• Strategic Influence: Proven ability to influence and align senior stakeholders (C-level, Product Leads) who do not have a direct reporting line to this role. Ability to lead through expertise and professional authority.
• Data-as-a-Product Mindset: A strategic approach to treating the data platform, tooling, and core datasets as internal products, where embedded analysts and business units are the primary customers.
• Change Management: Experience in leading organizational transitions (e.g., from centralized to decentralized) and establishing a high-performance data culture across distributed teams.

Technical Excellence & Methodology

• AI Modernization & Tooling: Lead the evaluation and strategic implementation of cutting-edge AI-driven data extraction solutions, ensuring selected technologies align with cross-departmental requirements and scale seamlessly across the organization’s data infrastructure.
• Modern Data Stack Mastery: Expert-level knowledge of cloud data warehousing (e.g., Snowflake, Redshift), transformation layers (dbt), and orchestration.
• Advanced Analytics & Modeling: Proficiency in SQL and Python/R for complex data modeling and predictive analytics. Deep understanding of version control (Git) and CI/CD practices in data workflows.
• Statistical Rigor & Experimentation: Extensive experience in designing and analyzing A/B tests, causal inference, and applying advanced statistical methods to drive business decisions.
• Operational Intelligence: Background in high-scale operational analytics, including forecasting, capacity planning, efficiency analysis, and automated quality assurance.

Functional Management & Governance

• Talent Development & Bar Raising: Experience in defining hiring standards, career frameworks, and mentorship programs for Data Analysts and Data Scientists.
• Data Governance & Quality: Proven ability to establish global data standards, master data management, and unified metric definitions to ensure a "Single Source of Truth" across the organization.
• Storytelling & Communication: Exceptional ability to translate complex technical findings into persuasive, executive-level narratives that drive operational and strategic improvements.
• Pragmatic Problem Solving: A results-oriented mindset with the ability to bridge the gap between high-level data science and pragmatic, actionable business solutions.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers. 

What We Offer:

• Competitive Salary: Starting from 6480-9720€ (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential.
• Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one.
• Annual Development Budget: €1,000 to invest in your personal and professional growth.
• Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week.
• Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along!
• Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration.
• Empowerment and Ownership: We believe in empowering our people to take initiative and drive meaningful change.