Die KI-Suchmaschine für Jobs
Senior Staff Data Engineer(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Berufserfahrung
10 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Lockere Unternehmenskultur
- •Diverse and internationally distributed team
- •Open communication and regular feedback
Flexibles Arbeiten
- •Hybrid work and flexible hours
Attraktive Vergütung
- •Virtual Shares
Team Events & Ausflüge
- •Regular in-person team events
- •Monthly full-day hacking sessions
Mehr Urlaubstage
- •30 days of annual leave
Sonstige Vorteile
- •Competitive benefits
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Senior Staff Data Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Berufserfahrung
10 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Lockere Unternehmenskultur
- •Diverse and internationally distributed team
- •Open communication and regular feedback
Flexibles Arbeiten
- •Hybrid work and flexible hours
Attraktive Vergütung
- •Virtual Shares
Team Events & Ausflüge
- •Regular in-person team events
- •Monthly full-day hacking sessions
Mehr Urlaubstage
- •30 days of annual leave
Sonstige Vorteile
- •Competitive benefits
Über das Unternehmen
DeepL
Branche
IT
Beschreibung
DeepL is a global communications platform powered by Language AI, focused on breaking down language barriers and improving communication.
- Aiven
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