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Senior Data Engineering Lead

vor 3 Monaten


Hamburg, Hamburg, Deutschland Mabanaft Vollzeit

Shaping the future of mobility – that is our mission. The transportation of tomorrow requires groundbreaking solutions. The transportation of tomorrow requires individuals who can drive progress. The future of transportation needs: you.

Join us in transforming the energy sector

We are currently seeking a:

Lead Data Engineer – Data Platform (m/f/d)

Your benefits:

Work-life balance: 38.75 hours per week with 30 days of annual leaveFlexibility: adaptable working hours and options for remote workFamily-friendly: support for children's holidays and nanny servicesSecurity and benefits: extensive accident insurance, substantial employer contributions to your pension, opportunities for sabbaticals or early retirementHealth initiatives: subsidized meals, gym memberships, online fitness classes, wellness services, and access to the Headspace appProfessional growth: tailored career development assistanceNetworking opportunities: internal networks fostering diversity and participation in corporate eventsAdditional perks: profit sharing, holiday bonuses, travel allowances, among others

Your key responsibilities:

We are looking for a seasoned Lead Data Engineer to oversee the creation and management of sophisticated data systems within our Azure-based Data Platform. Your responsibilities will include enhancing data solutions, streamlining data acquisition processes, and ensuring the integrity of data pipelines. You will be responsible for ensuring scalability and high-quality data processing within our team.

Your expertise in Azure services, particularly Azure Data Factory and Databricks, will be crucial in providing technical direction and best practices to the data engineering team.

Core responsibilities in this role:

Technical Leadership: Direct and mentor the team in following best practices in data engineering and cloud technologiesData Acquisition Optimization: Enhance data acquisition processes for improved efficiency and accuracyQuality Control: Guarantee high-quality data pipelines and consistent performanceScalability Monitoring: Oversee the scalability of data processing systemsCost Management: Manage and optimize cloud resource utilizationAutomation and CI/CD Implementation: Establish and uphold CI/CD practices for data pipelinesCross-Functional Collaboration: Collaborate closely with various teams to align data initiatives with business objectives

Qualifications for this position:

Bachelor's or master's degree in Computer Science or a related discipline 5+ years of experience in leading Data Engineering teams Proficiency in Azure Cloud Services, data engineering, and programming languages Strong expertise in Python, SQL, and big data technologies Knowledge in data quality management, performance enhancement, and cost efficiency Familiarity with CI/CD and DevOps methodologies, data architecture, and data security

Application process:

To express your interest in this position, please submit your application through our designated platform, including your salary expectations and earliest possible start date.