Senior Data Management Professional - Data Engineer – Events & Transcripts, Tokyo

Location Tokyo Business Area Data Ref # 10053690 Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. The Team Our Events and Transcripts Data team is seeking a Senior Data Engineer to help us drive the data set forward. The team provides our users with complete, accurat and timely company events and transcripts information. We partner closely with the Product, Engineering, Sales and News areas to create data products to support the numerous use cases that our clients heavily rely on to drive their workflows. Cross-functional collaboration, deep domain knowledge, thoughtful automation, and data management expertise are paramount for our ability to continuously deliver high quality fit for need data to our rapidly growing customer base. The Role We are looking for a highly motivated individual with a passion for finance, data, and technology to increase value from our data product. In this role, you will need to understand our customers’ needs and develop strategies to optimize the value of both Calendar events and Transcripts data for our customers and improve data operations. You will be a technical leader in this team, devising solutions for data challenges and solving problems with necessary technical solutions that you build. You will work together with Quality Assurance (QA) leads or Data Quality specialists to integrate our solution into the wider architecture. You will join a distributed team of dedicated individuals and experts where your interests and passion will have a significant impact on the team’s success. We'll Trust You To Design, build, and automate scalable workflows and data pipelines supporting data acquisition, quality control, and operational processes using Bloomberg or equivalent technologies (e.g., AWS, Kafka, Python/Pandas)Drive data strategy and governance, partnering with Data Technologies to align workflows, improve interoperability, and ensure consistent data ingestion across systemsEnsure data quality and reliability by defining validation frameworks, business rules, and monitoring dashboards (e.g., QlikSense) to track accuracy, timeliness, and completenessApply statistical methods, programming, machine learning, AI, and automation technologies to improve data quality, generate insights, and enhance efficiencyApply domain expertise in events and transcripts data to design solutions that meet client and market needs, translating requirements into data productsOwn delivery and collaboration, managing technical projects end-to-end and working closely with Product, Engineering, and Data teams to deliver measurable outcomes You'll Need To Have Bachelor’s degree or above in Engineering, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)3+ years of experience in data engineering, including Python, SQL, and/or NoSQLHands-on experience building and maintaining ETL/data pipelines and managing data at scaleExperience ingesting and normalizing data from multiple sourcesProficiency with modern data tools (e.g., AWS S3, Lambda, Kafka, Airflow, or Bloomberg stack)Proven project management skills with the ability to prioritize competing demands and drive workflow, process, and operational improvements through automation, AI/LLM solutions, and scalable technologiesStrong problem-solving skills, attention to detail, and ability to work independently in distributed teamsThe ability to communicate technical concepts clearly to both technical and non-technical audiencesDe