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Cloud Data Engineer
BearingPoint. Support customers in developing forward-looking business models, IT strategies, and architectures .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying cloud-based data architectures and pipelines, with a strong focus on data governance, integration, and analytics in modern cloud environments. Proficient in programming languages such as SQL and Python, and experienced with tools like Databricks and Snowflake.
Highest-signal resume keywords
Cloud Data EngineeringData Architecture DesignSQL ProgrammingReal-Time Data ProcessingData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud ComputingData IntegrationData ManagementData AnalyticsData CatalogData WarehouseData VaultCloud AutomationSecurity PoliciesProblem-Solving
Soft Skills
CommunicationInterpersonal SkillsAttention to Detail
Tools & Technologies
Apache FlinkApache BeamGoogle DataflowDatabricksSnowflakeMS Fabric
Industry Keywords
Business ModelsIT StrategiesDigitization StrategiesCloud SolutionsCloud Infrastructure
Tech Stack
Tools & technologiesApacheCloudPythonSQLVault
About the role
Key responsibilities & impact- Support customers in developing forward-looking business models, IT strategies, and architectures
- Implement complex, standardized, and individual business applications
- Develop data and analytics architectures and roadmaps for business projects
- Support data management, data governance, and data catalog projects
- Conceptualize and design innovative data integration scenarios and use cases in modern cloud environments
- Develop cloud-native business solutions
- Advise customers on developing and implementing digitization strategies
- Integrate cloud solutions and data platforms into company service structures
Requirements
What you’ll need- Successfully completed a Bachelor’s or Master’s degree in Computer Science, Natural Sciences, or a related field with a focus on IT, cloud computing, or data platforms
- Extensive experience in designing and deploying cloud-based data architectures and pipelines
- Proven experience as a cloud data engineer
- Strong expertise in programming languages such as SQL, Python, and others
- In-depth knowledge of cloud infrastructure and services
- Expertise in real-time data processing and analytics platforms like Apache Flink, Apache Beam, and Google Dataflow
- Knowledge of Big Data Tools & Frameworks, real-time stream processing, Data Warehouse, Data Vault, and Data Catalogs
- Experience working with Databricks, Snowflake, and MS Fabric
- Solid knowledge of cloud automation, security, and connectivity
- Strong knowledge of data governance and security policies
- Excellent problem-solving skills and attention to detail
- Excellent communication and interpersonal skills
Benefits
Comp & perks- Fixed salary with yearly evaluation
- Performance-related bonus
- Meal tickets
- Easter and Christmas gift vouchers
- Seniority bonus
- Referral bonus
- Peer-to-peer recognition
- Extra paid vacation days
- Hybrid working model
- Quality private medical subscription for employee and their families
- Gym options
- Customized training paths covering technical, functional, soft skills, German, and French language courses
- Certifications
- E-learning solution
- Firm-wide development programs