Senior Data Engineer

2 miesięcy temu

Warsaw, Polska Planner 5D Praca zdalna Freelance Pełny etat
About us: Planner 5D is a global hub for home design, uniting over 90+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our . You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes .Our cross-platform presence spans , , , , and , ensuring seamless synchronization for our users. Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market.We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design.We are seeking a highly skilled and experienced Data Engineer / Analyst to join our growing team. You will play a crucial role in building and maintaining our data infrastructure, performing in-depth analysis of marketing and product performance, and providing actionable insights to drive business decisions. This role requires a strong understanding of data warehousing, ETL processes, and a passion for leveraging data to improve business outcomes. Note that this role includes both Data Engineering and Analytics responsibilities.

You will (responsibilities):

Data Engineering part: Design, develop, and maintain robust and scalable data pipelines using Apache Airflow; Develop and optimize ETL processes for ingesting data from various sources, including Google Analytics, AppsFlyer, Stripe, Apple Connect, and Google Play; Build and maintain our data warehouse in Google BigQuery; Implement data quality checks and monitoring procedures; Collaborate with engineering and product teams to integrate data sources and improve data accessibility. Data Analysis: Conduct in-depth analyses of marketing campaigns using data from Google Analytics, AppsFlyer, and other sources; Perform product analytics to identify areas for improvement and growth opportunities; Develop dashboards and reports using Google Data Studio to visualize key performance indicators (KPIs) and insights; Identify trends and patterns in data to support strategic decision-making; Present findings and recommendations to stakeholders through clear and concise visualizations and presentations; Develop and maintain data models using dbt (data build tool).

Background Requirements:

Strong proficiency in SQL and experience with BigQuery; Experience with Apache Airflow for workflow orchestration; Experience with DBT/Google Dataform for model processing; Experience with dbt (data build tool) for data modeling and transformation; Experience with data visualization tools such as Google Data Studio; Strong understanding of web and mobile app marketing analytics, including attribution modeling; Experience with Google Analytics and AppsFlyer; Excellent communication, presentation, and collaboration skills; Experience with Stripe, Apple Connect, and Google Play integrations is a significant plus; Experience with cloud platforms (preferably Google Cloud Platform) is a plus. We do not provide visa sponsorship in EU. What we offer: - Great work environment that balances freedom and responsibility- Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge- We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year- Company computer equipment by request- Education courses for our team members, and we're willing to allocate funds toward your training expenses- English classes on our corporate platform- Offline company events in Lithuania and online team-building- Unlimited free Planner5D subscriptions

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