Data Engineer at LPL Financial developing Python - based ETL pipelines. Collaborating with cross - functional teams to ensure reliable data delivery and optimizing pipeline performance.
About the role
- Senior Data Engineer working with data systems and analysis for shopping apps. Aligning data architecture with business goals in a hybrid work environment.
Responsibilities
- Analyze and organize raw data from millions of active users
- Build, maintain and operate data systems and pipelines on AWS
- Evaluate business needs and objectives, map them to requirements
- Strategically align data architecture with company needs and goals
- Detect, investigate and interpret data trends and patterns
- Conduct complex data analysis and report on results
Requirements
- Professional experience in Data Engineering using cloud platforms (AWS strongly preferred)
- Data architecture understanding and experience is a must, focused particularly around current concepts of Data Mesh architecture
- Strong Software Engineering skills and expertise with data mining and analytics
- Knowledge of programming languages (e.g. Scala, Python, Java)
- Experience with Apache Spark and Hadoop is highly desirable
- Knowledge of business intelligence tools (e.g. QuickSight, Adverity, Looker) is of advantage
- Hands-on experience with SQL database design
- Understanding, experience, and interest in the possibilities of emerging AI tooling and practices in software engineering
- Great numerical, analytical and statistical skills
- A degree in Computer and/or Data Science would be an advantage
- Business fluent in English, preferably German as well
Benefits
- A young and rapidly evolving company that empowers employees to make decisions and actively shape our success
- Flexible working hours with the option to work from our offices in Zurich or Basel, as well as partially from home
- Regular team and company events in an environment that actively fosters team spirit
- Environmentally friendly travel options, including a discounted public transport pass (Halbtax) for your commute
- Many cool perks, such as a day off on your birthday, top-notch barista-quality coffee, the latest hardware, home office subsidies, and much more!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Engineer at Keyrus focusing on data solutions and projects to drive performance. Collaborating with teams globally to enhance data transformation and governance processes.
Data Engineer developing scalable data pipelines for ETL/ELT processes using GCP services. Collaborating with team members to optimize data workflows and ensure data integrity.
Data Governance Engineer in Fintech developing a formal cyber data governance framework. Collaborating with cyber security, analytics, and platform engineering teams on metadata and lineage capabilities.
Junior Data Engineer role at Allegro, focusing on developing ETL/ELT pipelines and processing large datasets. Collaborate with cross - functional teams for data quality and reporting.
Data Engineer at Concept Reply developing innovative data - driven solutions in IoT. Collaborating with teams to unlock the potential of data and cloud computing.
Data Engineer creating and managing data pipelines for critical data solutions at S&P Global. Collaborating on enterprise - scale data processing in a supportive, innovative environment.
Data Engineer supporting and evolving data environment in cloud migration. Maintain and optimize existing databases while designing modern data solutions with cross - functional collaboration.
Senior Data Engineer responsible for data pipeline projects at Suprema Gaming. Focus on batch and streaming data solutions while collaborating with business teams.
Senior data leader managing the enterprise data architecture at Breakthru Beverage. Leading high - performing teams in data engineering and defining modern data strategies.