Data Engineering Mastermind

We’re looking for bright Data Engineer Masterminds to join our team

At Critical TechWorks, we're not just engineering software; we're sculpting the data landscape of tomorrow. Our Data Engineers are pivotal in transforming the BMW Group into a data-driven powerhouse. From handling vast datasets to optimizing data flows, you will be at the forefront of innovation in automotive technology.

• Data Pipeline Development: Design and maintain robust data pipelines, ensuring seamless data flow from various sources to storage and analytical platforms.
• Data Modeling: Craft and optimize data models for efficient data retrieval and analysis, balancing performance and scalability.
• Data Quality Assurance: Implement rigorous testing and validation protocols to guarantee the accuracy and integrity of data.
• Troubleshooting and System Optimization: Proactively identify and solve data processing issues, enhancing the performance and reliability of data systems.
• Big Data Processing: Engage in large-scale data projects, utilizing frameworks like Apache Spark for efficient data handling and processing.
• Real-Time Data Streaming: Work on cutting-edge projects that process and analyze data in real-time, ensuring swift data delivery and insights.

Whatever you’re working on, here’s the lowdown on the technical skills you’re likely to have:

• At least 3 years of experience in data engineering.
• Experience working with public cloud platforms, especially AWS.
• Experience with IaC tools, such as Terraform.
• Ability to code in at least one programming language (Python, Java, JavaScript, Scala) is a must.
• Experience working with and creating data-driven architectures, preferably in public cloud platforms.
• Experience using a querying language such as SQL.
• Experience with Big Data and data modelling.
• Advanced knowledge of multiple SQL/noSQL data environments and a strong. understanding of why and when to use a particular solution.
• Familiarity with tools in the Big Data ecosystem (like Hadoop, Cassandra, Apache Hive, Apache Spark, and others alike).
• Experience with orchestration tools like Airflow is a big plus.

CTW's Daily Toolkit

Apart from great technical skills, our environment is fast-paced and 100% agile, and prioritizes autonomy, teamwork, interaction and resilience. This means our Data Engineers must also possess the following:

• Embrace agile and its implementation frameworks namely Scrum, to make the most out of all its events and work to keep evolving a high-performing team.
• Be available to be a cross-functional team member by using and developing new skills and enabling a fully responsible team able to cover the whole product lifecycle.
• Use standard software engineering practices and tools like version control, IDEs, data dashboards, to manage and keep a systematic and organized development process.
• Use state of the art DevOps quality practices and tools such as Continuous Integration /Continuous Deployment (CI/CD) pipelines to build, analyse, perform automated testing and deployment processes, to ensure a streamlined and reliable development workflow.
• Run and operate developed software inside and outside working hours if needed, to provide high quality software services (extra compensation will be applicable).
• Be available to travel abroad for short periods, as required to support all the phases of the product development cycle when needed.
• Have excellent English oral and written skills. German communication skills will be a plus.

Who we are

Critical TechWorks seeks a distinct and treasured corporate culture, that is very much our own. This means:

• Growth and Innovation: Be a key player in shaping the future of mobility through innovative ideas.
• Engineering Excellence: Immerse yourself in an environment valuing engineering process, where we create, innovate, lead, and make a tangible impact.
• Autonomy and Collaboration: Thrive in a culture that blends autonomy with teamwork, contributing to groundbreaking developments.
• Continuous Learning: Embrace constant skill enhancement in a dynamic workplace, where your cont