Senior Data Engineer

Department: Data Engineering

Req ID: R31119

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Senior Data Engineer

  • Prague, Czechia
  • Remote, Czechia
  • Estonia
  • Remote, Poland
  • Remote, Spain
  • Full_time

Citrix builds the secure digital workspace technology that frees 400,000 customers to do their very best work from anywhere. By joining our award-winning workplace, you’ll be included in the globally diverse, collaborative team that values work-life balance. Come see why Fortune named us one of the 100 Best Companies to Work For®. Let’s innovate and grow together!

What we're looking for:

The Wrike Enterprise Data Engineering team is looking for a Data Engineer to organize reliable and scalable infrastructure, and help in designing and maintaining clean data sources for analysis of business operation.

We are looking for specialist with a focus on one (or more) of the following scopes:

  • Business Data Engineering with interest in system\data integration

  • Python Development with experience of creating tooling and data services

  • MLops\DRE (Data Reliability Engineering) working with data science teams

Our current data infrastructure is built on Google Cloud Platform with lots of Python\SQL and other goodies, like CI\CD, Airflow, and K8S. ML infrastructure leverages AI Platform and Vertex AI, with plans to push it to Level 3 MLOps maturity model.

As a Data Engineer, you will be a key member of the Business Technology organization with the focus on data architecture and business intelligence developing our enterprise data machine. 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.

This is a highly impactful role and you will work extensively with GTM teams to translate data requirements into reliable services and data products. You must  have a deep background in data engineering and a proven track record of solving complex data problems and designing long-term solutions. 

You will also be responsible for:

  • 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

Basic Qualifications:

  • 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 at least one general-purpose programming language (we're using Python)

  • Advanced working SQL knowledge and experience working with relational databases 

  • Good communication, collaborative demeanor and ability to work in distributed, multi-functional, multinational teams with the ability to articulate a point of view.

  • Advanced English level

Preferred Qualifications:

  • Experience with Data Warehousing Solutions (BigQuery, Redshift, Snowflake, Vertica, or similar)

  • Experience with Data Pipeline Orchestration (Airflow, Dagster, Prefect, or similar)

  • Experience with major B2B vendor integrations (Salesforce/CPQ, NetSuite, Marketo, etc.)

  • Good understanding of Data Modelling (Kimball, Inmon, SCDs, Data Vault, Anchor)

  • Confidence in using Git, CI\CD, and containerization

  • Knowledge of Python Data Libraries (Pandas/SciPy/NumPy/Sci-Kit Learn/TF/PyTorch)

  • Experience with MLops and AI platforms (Vertex AI, Databricks, MLflow, or similar) 

  • Experience with Data Streaming and CDC (Google Pub/Sub, Google DataFlow, Apache Kafka, Kafka Streams, Apache Flink, Spark Streaming, or similar)

  • Experience with Data Quality Tools, Monitoring and Alerting

  • Experience with Enterprise Data Governance, Master data management, Data Privacy and Security (GDPR, CCPA)

  • Experience with building analytic solutions in a B2B SaaS environment

  • Experience partnering with go-to-market, sales, customer success, and marketing teams

Functional Area:

Data Engineering

What you’re looking for:

Everyone is welcome at Citrix. We prioritize diversity, equity, inclusion, and a culture of belonging, and celebrate bringing our courageous, authentic selves to work. We believe this way of working helps us innovate, and it’s just one of the reasons why our employees continuously recognize Citrix as a great place to work.

Citrix helps make work more sustainable to benefit the planet, our business, and our communities. For more than 30 years, we have empowered individuals and organizations to work remotely or work from anywhere, reducing commuting emissions and energy consumption in the process. 

We are the #1 leader in Virtual Client Computing (VCC) and #2 in the Application Delivery Controller (ADC) space, and we have key partnerships with top cloud providers. We’ll give you the tools, learning opportunities, mentorship, and flexibility to achieve your goals. Come see why you belong at Citrix, with our culture supporting purposeful innovation and growth from within. 

The Benefits

We offer a competitive total rewards package* that includes:

  • 18 weeks of paid parental leave
  • Health and wellness benefits
  • Employee assistance program
  • Retirement benefits
  • Time off and absence programs
  • Professional development and mentorship opportunities
  • Paid volunteer time and charitable matching of employee donations
  • Employee resource groups
  • And more!

**Please note that benefits may vary based on location.

Citrix Systems, Inc. is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, sexual orientation, gender identity, ethnicity, national origin, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions, marital status, protected veteran status and other protected classifications.

Citrix uses applicant information consistent with the Citrix Recruitment Policy Notice at

Citrix welcomes and encourages applications from people with disabilities. Reasonable accommodations are available on request for candidates taking part in all aspects of the selection process. If you are an individual with a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at (877) 924-8749 or email us at for assistance.

By applying, you are giving Citrix consent to be considered for future openings of other roles of similar qualifications.

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