Oval is looking for
Data Engineer
Duties:
Designing, prototyping, and implementing robust big-data applications and tools, using best-practice agile development processes, Working closely with our analysts and data scientists on leveraging data, considering its life cycle, usage across the group, archiving and retention polizie, Driving change and innovation through new technologies and creating thinking, Championing continuous improvement in performance, resilience and scalability of ETL processes and product databases, Building and leading a high-performance, tight-knit, agile, quality-focused team, Fostering a team culture of innovation, pride in the craft, and mutual respect, Providing technical and architectural oversight across multiple projects simultaneously, Assessing and communicating risks and opportunities of upcoming and alternative platforms, to technology and executive stakeholders, Supporting the team by removing obstacles and helping the rest of the team deliver their stories, Setting up / participating in technology networks inside and outside the group to demonstrate and share developments and experiences, Managing and developing a high performing, diverse team that is focused on delivering positive outcomes to the business
Your Profile and Mindset:
A strong analytical and strategic thinker – able to communicate to tech and business stakeholders alike
Able to build relationships, and influence people, at all levels across the business – engineering, analytics, executive
An advocate of agile practices for rapid development of quality software, such as CI, TDD, and automated deployment
Comfortable learning new technologies, languages, and tools on the job, to ensure that the product is not left behind in a rapidly evolving eco system. In possession of a positive, collaborative mindset and a desire to deliver real business value to the customer
Experienced in modelling and evolving complex data structures
Truly passionate about big data and streaming technologies, and have a can-do attitude
People focused, showing a passion for mentoring the team and also a strong desire to collaborate across our diverse range of stakeholder groups.
Requirements:
Comfortable working with at least one SQL and at least one NoSQL platform
Experience working with python
Experience in real-time analytics and streaming platforms (Spark, Kafka, etc.)
Comfortable working in a dynamic environment (agile processes)
Experience using Amazon Web Services
Strong knowledge of instrumentation, profiling, performance optimisation
Appreciation of security requirements – encryption in transit and at rest – and regulatory landscape (e.g. GDPR)
Extra:Experience running machine learning pipelines in production. Additional SQL/NoSQL languages
Contract and Conditions: Apprenticeship contract or Permanent contract if over 29 years, salary commensurate with experience + Stock Options Plan. Top class equipment incl. MacBook, screen, keyboard and mouse. Your own Oval Money t-shirt and water flask when you join
A budget to spend on learning and self improvement through conferences, books and classes.Possibility to spend time across Oval offices and to fly to conferences around the world where Oval is participating
Annual retreat for the team in an exotic location to dive into the new product features and growth strategy. Professional development
How to apply:
Send the CV in English (“Ref. Data Eng.”) to:
eures@agenziapiemontelavoro.it and bec@ovalmoney.com
Deadline: 10 July 2019