Senior Data Engineer

Náplň práce, právomoci a zodpovednosti:
Senior Data Engineer

The Future Begins Here
At Takeda, we are creating a future-ready organization that uses data and digital to meet the needs of patients, our people, and the planet. We need your help to make this happen. Join our new Innovation Capability Center (ICC) in Bratislava, Slovakia.
In this role at our state-of-the-art center, you will have the opportunity to grow your skills and create solutions that will benefit patients around the world. Become the heart of our internal innovation engine.

At Takeda’s ICC we Unite in Diversity
Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators’ journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.

The Opportunity
As Senior Data Engineer you will excel in designing, implementing, and optimizing complex data architectures and pipelines, leveraging advanced tools and technologies. Your role involves solving complex engineering challenges, ensuring data quality, and enabling scalability across systems. You possess a complete understanding of principles, concepts, and industry practices, exerting some influence on organizational objectives. You often work independently under general direction, occasionally leading small project teams, and may represent the organization in contractual or project matters, interacting with senior internal and external personnel. You might also participate in training and mentoring staff.

Job Description
• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals, leveraging SQL and Python.
• Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various data tools in the Big Data Environment.
• Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
• Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
• Train and mentor team members in applying data standards, ensuring consistency and quality across analytics initiatives.
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.

Zamestnanecké výhody, benefity:
What Takeda Can Offer You

At Takeda, you may build your career, while contributing to better people’s lives. Expect trust driven culture built around Integrity, Fairness, Honesty and Perseverance. Joining ICC will give you access to high end technology, training and colleagues who will support your growth.

Benefits
Here are a few benefits our employees are enjoying at Takeda. To get a full picture of what we are offering, go to our Benefits page (button above).

• Cafeteria
• Medical - High standard medical care
• Bridge days
• Summer Hours
• Multisport Card

Požiadavky na zamestnanca:
Skills and Qualifications
• 5+ years of experience with relevant Data/DWH/BI project.
• Expert in designing and maintaining scalable data architectures, capable of handling complex data systems.
• Proficient in SQL and other data manipulation languages, with a strong ability to optimize and troubleshoot queries.
• Skilled in DevOps practices and continuous integration to enhance workflow efficiencies.
• Experienced in software development methodologies, contributing to both project and operational goals. Specifically, skilled and oriented in agile development ways of working organized via scrum/kanban board. Familiar with scrum ceremonies and willingness to support and embrace agile practices on day-to-day work.
• Knowledgeable in data structures and algorithms, enhancing data processing and storage solutions.
• Efficient in system integration, ensuring seamless data flow and connectivity across platforms.
• Proficient in programming languages such as Python, Scala, applying them effectively in data engineering tasks.
• Experienced in SQL database management, performance tuning, and complex query handling.
• Capable of performing advanced troubleshooting and guiding others through complex problem-solving processes.

Preferred Skills:
• Skilled in cloud platform deployment environments like Amazon Web Services and it's services, both native or cloud-agnostic, specifically oriented about data storage, data lake, data warehouse and data migration processes.
• Familiar with distributed data technologies like Spark and Hadoop, capable of managing large-scale data operations.
• Exposure in AWS, Databricks, PySpark, with the ability to provide guidance and advice on complex database programming and optimization.