Data Engineer Team Lead- 5841

Data Engineer – Team leadION Analytics Data
About ION AnalyticsION Analytics is the market leader in providing solutions to Investment Banking, Capital Markets, Sales, Trading & Research and Institutional Investors.Our mission is to enable the global capital markets to operate in the most effective and impactful way.Our mission is to drive the digitisation of the capital markets through innovative and intuitive technology powered by deep data analytics and machine learning.
About DataION Analytics’ Data function is responsible for the creation, management and expansion of the group’s markets data. To support the group’s vision to transform global capital markets, the Data team aspires to be best-in-class in the sourcing, ingestion, validation and reconciliation of an ever-growing amount of investment banking data and closely engaging with the market to ensure continuous relevance and value of this data to clients.
About YouYou will be leading a highly effective data engineering team. The role requires a systematic and proactive approach to continuous improvement around data and content gathering, data management and analysis. Solid programming skills and a problem-solving mindset are key to support the growth of ION Analytics’ Data business. Good communications skills with the ability to collaborate closely with teams in different technical and business-related functions and global locations as well as sound organisational skills are also prerequisites. As a Data Engineering team lead, you will actively contribute to data innovation, increasing value for our clients while fostering an inclusive and open culture as well as ensuring independent and team ownership of a large variety of tasks.  Duties & Responsibilities Data Engineering·         Manage and guide a team of data engineers.·         Utilize programming skills to continuously enhance and optimize data gathering and workflow processes·         Build and apply scraping technology to source and extend data from websites and documents·         Work on data point extraction, and bulk data clean-up projects through innovative technical solutions Content Gathering and Validation·         Utilize various sources with internal systems and aforementioned new technical solutions to gather, validate and analyse global markets data·         Guarantee accurate, timely and complete data coverage. Automate quality control methods·         Utilize data science tools to facilitate the creation of new content  Skills & ExperienceEducation/QualificationBachelor’s degree and above in Computer Science or equivalent combination of technical education and work experience. Experience is the finance domain a plus.LanguagesVery good spoken and written EnglishCharacter·  Strong work ethic and hunger for constant improvement·  Excellent communication and interpersonal skills ·  Team player who works collaboratively within the business ·  Flexible with the ability to prioritize and re-prioritize due to conflicting demands ·  Determined in the face of objection  ·  Problem-solver with a focus on delivering results ·  Strong influencing skills ·  Proven capability to work on own initiative·  Attention to detail with ability to analyze large data setsRequired Experience·   7+ years of Software Development experience; experience in building and leading engineering teams·   Deep hands-on technical expertise in data and web-technologies·   Solid software development background including design patterns, data structures, agile software development·   Software development experience in building web services and web sites·   Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations·   Experience in Python, javascript, HTML, css, SQL. Bonus: Angular, C#, Azure technologies·   Excellent verbal and written communication skills·   Managed a team of 5+ engineers Desired Experience·  Working experience within a Data-related job