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DeepL
15d ago

Senior Staff Data Engineer(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

In this role, you will lead the evolution of data practices by defining standards, guiding technology choices, and collaborating with various teams. Your focus will be on enhancing data capabilities while ensuring security and compliance.

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Requirements

  • •10+ years of experience in data engineering or related role
  • •Deep understanding of data infrastructure, data warehousing, ETL/ELT processes, and data pipeline orchestration
  • •Proven experience with cloud platforms (AWS, Azure, or GCP)
  • •Advanced scripting skills in Python, Bash, or similar languages
  • •Proven track record of technical leadership and mentoring engineers
  • •Experience in high-growth technology or SaaS environments
  • •Experience with data-specific tools such as Apache Airflow, dbt, Apache Spark, Kafka
  • •Experience with real-time streaming data processing pipelines
  • •Knowledge of data warehousing solutions (Snowflake, BigQuery, Redshift)
  • •Background in data engineering or analytics engineering
  • •Familiarity with machine learning operations (MLOps)
  • •Experience with security best practices
  • •Experience with agile methodologies and tools (Jira, Confluence)
  • •Contributions to open-source projects or technical community involvement
  • •Experience with cost optimization strategies for cloud infrastructure

Work Experience

10 years

Tasks

  • •Define and implement data engineering standards and best practices
  • •Provide expert guidance on technology selection and cloud services
  • •Drive improvements in efficiency and cost reduction
  • •Evaluate and recommend tools and frameworks for data capabilities
  • •Partner with engineering, analytics, machine learning, and security teams
  • •Mentor and lead across data and engineering teams
  • •Collaborate with stakeholders to understand data requirements
  • •Work with customer-facing teams to meet client data needs
  • •Drive best practices in data security and compliance
  • •Implement security measures for data at rest and in transit
  • •Document data processes and systems architecture
  • •Maintain compliance with GDPR, SOC 2, and other regulations

Tools & Technologies

AWSAzureGCPPythonBashApache AirflowdbtApache SparkKafkaSnowflakeBigQueryRedshiftJiraConfluence

Languages

English – Business Fluent

Benefits

Informal Culture

  • •Diverse and internationally distributed team
  • •Open communication and regular feedback

Flexible Working

  • •Hybrid work and flexible hours

Competitive Pay

  • •Virtual Shares

Team Events

  • •Regular in-person team events
  • •Monthly full-day hacking sessions

More Vacation Days

  • •30 days of annual leave

Other Benefits

  • •Competitive benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepL and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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