Senior Data Engineer
Nicosia
Wrike
Only Wrike's work management platform gives your team full visibility and control over all your tasks and projects. Project management software has never been more collaborative.Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Our vision: A world where everyone is free to focus on their most purposeful work, together.
Come Join the Wrike Family
At Wrike, we believe that work should be both challenging and fun. We're growing rapidly and providing excellent opportunities for professional growth. We owe our success to our talented and energetic team that's really fun to work with. We're smart, passionate, friendly, and professional, and we are looking for the same qualities in you.
Role Overview
We're looking for a Senior Data Engineer to organize reliable and scalable infrastructure, and help in designing and maintaining clean data sources for analysis of business operations.
You will be responsible for conceptualizing, designing, and building data pipelines and services, while contributing towards the evolution of our data platform as a strategic asset for driving business decisions across Wrike. Depending on your experience and scope you will be working on data warehousing organization, SaaS integrations, tooling, or practical AI implementations. We like to see people interested in more than one scope, and will gladly help to acquire extra ones.
Job Scope and Accountabilities:
- Own data assets and data pipelines that provide actionable insights into customer, product, GTM, and other key business functions
- Design, develop and maintain scalable data pipelines and transformations using data from a variety of engineering and business systems (e.g., Salesforce/CPQ, NetSuite, Marketo)
- Collaborate with Analysts to improve data models that feed business intelligence tools, increasing data accessibility and drive adoption of data
- Deploy ML models together with Data Science teams according to best practices of ML life cycle, and improve our AI infrastructure
- Implement processes and systems to manage data quality, ensuring production data is always accurate and maintains SLAs
Experience Requirements
- Work experience building & maintaining data pipelines on data-heavy environments (Data Engineering, Backend with emphasis on data processing, Data Science with emphasis on infrastructure)
- Strong knowledge of Python required
- Advanced working SQL knowledge and experience working with relational databases
- 7+ years experience with Data Warehousing Solutions (BigQuery, Redshift, Snowflake, Vertica, or similar)
- 7+ years experience with Data Pipeline Orchestration (Airflow, Dagster, Prefect, or similar)
- Confidence in using Git, CI\CD, and containerization
- Google Cloud Platform or AWS
- Database architecture experience
Desired Skills
- Experience with major B2B vendor integrations (Salesforce/CPQ, NetSuite, Marketo, etc.)
- Good understanding of Data Modelling (Kimball, Inmon, SCDs, Data Vault, Anchor)
- Knowledge of Python Data Libraries (Pandas/SciPy/NumPy/Sci-Kit Learn/TF/PyTorch)
- Experience with Data Quality Tools, Monitoring and Alerting
- Experience with Enterprise Data Governance, Master data management, Data Privacy and Security (GDPR, CCPA)
- Familiarity with Data Streaming and CDC (Google Pub/Sub, Google DataFlow, Apache Kafka, Kafka Streams, Apache Flink, Spark Streaming, or similar)
- Experience with building analytic solutions in a B2B SaaS environment
- Experience partnering with go-to-market, sales, customer success, and marketing teams
Interpersonal skills
- Good communication, collaborative demeanor and ability to work in distributed, multi-functional, multinational teams with the ability to articulate a point of view.
- Fostering a fun and productive team environment
Perks of working with Wrike
- Health insurance for you and your family
- SIM card with unlimited internet access for employees (provided during your employment)
- 21 paid vacation days
- 5 uncertified sick days per year
- 10 fully-paid working days of sick leave per year
- School allowance of up to €600 per month (for children at school age)
- Up to 18 weeks of fully-paid maternity leave 2 weeks of fully paid paternity leave. Enhanced four weeks of fully paid paternity leave will be available for employees after 6 months of continuous service
Your recruitment buddy will be Pavel Kucera, Senior Tech Recruiter.
#LI-PK1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work modeWrike promotes a hybrid work mode for those that live near an office hub, we meet in the office 2-3 times a week. This work mode supports our culture of collaboration and solving problems fast to deliver business outcomes and win together.
Our persona
💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful.Our culture and Values
🤩 Customer-Focused
We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our LinkedIn Life Page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS BigQuery Business Intelligence Dagster Dataflow Data governance Data management Data pipelines Data quality Data Warehousing Engineering Flink GCP Git Google Cloud Kafka Machine Learning Marketo ML infrastructure ML models NumPy Pandas Pipelines Privacy Python PyTorch RDBMS Redshift Salesforce Scikit-learn SciPy Security Snowflake Spark SQL Streaming
Perks/benefits: Career development Parental leave Startup environment Unlimited paid time off
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