Data Engineer

• Develop and maintain robust data pipelines to efficiently ingest, clean, transform, and aggregate large volumes of sales data from diverse sources, including point-of-sale systems, competition sell-out , sell-in , inventory and online channels.
• Collaborate closely with Sales, Marketing, and Product teams to understand business objectives, identify data requirements, and translate them into actionable insights and solutions.
• Design, implement, and optimize data models, schemas, and databases to support advanced analytics, reporting, and machine learning initiatives, ensuring scalability, reliability, and performance.
• Implement ETL (Extract, Transform, Load) processes and workflows using industry-standard tools and technologies to automate data integration and transformation tasks.
• Develop custom scripts, queries, and algorithms in SQL to extract complex insights, identify sales trends, patterns, and anomalies, and generate predictive models.
• Build interactive dashboards, reports, and visualizations using tools like Power BI to communicate key findings, performance metrics, and KPIs to stakeholders at all levels.
• Conduct thorough data quality assessments, perform data validation, and implement data cleansing and enrichment techniques to ensure data accuracy, consistency, and reliability.
• Stay abreast of emerging trends, technologies, and best practices in data engineering, analytics, and sales methodologies, and proactively identify opportunities for innovation and improvement.
• Provide technical guidance, mentorship, and support to extended team members, fostering a culture of collaboration, learning, and continuous improvement within the Sales Analytics team.

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• At least 3-5 years of Data Engineer or similar role(e.g. in a consultancy, agency, or on the customer side) - ideally with a marketing/ e-commerce industry background
• Proficiency in SQL and experience working with relational databases (e.g., MySQL, PostgreSQL).
• Experience with ETL tools and techniques for data integration and transformation (e.g., Apache Spark, Talend).
• Strong programming skills in languages such as Python, Java, or Scala.
• Business reporting system knowledge (i.e. SAP, Qlikview)
• Experience in data analysis and visualization tools such as Tableau, MS Power BI, QLIK, etc.
• Advanced MS Office skills, with distinct Excel. SQL expertise
• Optional skills are a plus: Digital analytics tools (Adobe Analytics, Google Analytics), Coding: Python/R/JavaScript, Experience with data science projects
• Excellent problem-solving and analytical abilities.
• Strong communication and collaboration skills.

• Data-Driven - With an eye for detail and the ability to interpret complex data, you can also translate this into meaningful, useful information that informs decision-making and continuous improvement;
• Inquisitive - Analysis - the ability to ask the right questions to get to the root causes of issues while keeping a strategic mindset. Ability to research, analyze, and form recommendations that can be communicated to different audiences effectively.
• Solution Oriented - Ability drive to solutions, actively think about next steps
• Multi-tasker - Attention to detail with excellent planning and organization skills and can adjust to changing demands to prioritize multiple deliverables and tasks in a fast-paced environment.
• Communication - Concisely build recommendations and speak to them (with confidence and the ability to answer tough questions).
• Team player - Strong team player with the ability to build relationships and experience collaborating with and supporting geographically dispersed users.

• Flexibility of work hours.
• Discounts on Electrolux products and services.
• Medical & Hospitalization coverage.

Electrolux