Senior Data Engineer

We are building out a large AI-based anti-fraud platform, which is provided to clients on a SaaS platform. We are expanding due to the success of the product, and the size of the client pipeline. Every client project has a strong data engineering component.

You will work with the team in engineering the appropriate data pipelines and environments for our projects.

In particular, you will be developing the means to collect and ingest data, developing data models and data architectures, creating automated data pipelines, and taking the lead in making these Production-ready. You will assist with integrating with existing applications, and will be working with leading organizations and teams.

We are interested in hearing from individuals with a background in data - both SQL and non-SQL, and ideally some scripting background. Exposure to AI & ML would also be beneficial.

You will work alongside a strong, global team of individuals with diverse backgrounds and skills in a variety of areas to:

◆ Analyse data sources, and acquire data

◆ Create data pipelines, and integrate to final data destinations

◆ Create appropriate data models, architectures and pipelines

◆ Move the models and pipelines into Production

You will assist the practice in:

◆ Developing templates and accelerators, across a variety of libraries and platforms.

◆ Participating in pre-sales work and client work as necessary

◆ You will collaborate with business and technology partners to grow and develop the data science practice

Required:

◆ Strong data-related development skills, preferably in mainstream versions of SQL and NoSQL. Experience of scripting languages, especially Python

◆ Exposure to the full Software Development Life Cycle, and experience of working in a modern development team

◆ Good analytical skills

◆ Strong communication skills, both verbal and written.

◆ At least some experience with big data

Required:

◆ Degree in Computer Science, or equivalent experience

◆ At least two years of data engineering and/or software development experience

Desired:

◆ Exposure to analytics, and/or Machine-learning-as-a-service.

◆ Experience in working with / supplying data to visualization tools such as Qlik, Tableau, PowerBI or similar.

◆ Good understanding of data integration patterns

Desired:

◆ Experience with / exposure to software development for analytic applications

◆ Experience in big data

◆ Experience in projects involving cross-functional teams

• Competitive salary
• Luxoft Training Center
• Access to e-learning Library
• Individual development plans
• Long-term cooperation with possibility to gain experience in different projects and technologies
• A significant number of professional communities (Agile Community, Tech Community, Business Analysis Community, etc.)

• Group Life Insurance
• Private healthcare insurance – LuxMed. Unlimited access to specialist consultations with Dental Care included
• Medical costs reimbursement for employees (up to certain amount per quarter)
• Travel Insurance
• Benefit Program - Cafeteria and Multisport Card

• Various communities (sport, recreation activities, trips, board games, cultural and educational activities)
• Discounts program for employees – BeLux (banking offer, car leasing offer and cafeteria program discount)
• Convenient locations in a modern offices with game rooms
• Multinational projects for clients all over the world