Senior Data Engineer
Location: Remote PolandWe are establishing brand new Data Analytics team for global range customer from retail area.
In essence, client is leveraging the Azure PaaS platform with all kind of (business) data to build an advanced analytics platform aiming at delivering better insights and applications to the business.
The platforms are continuously being enhanced to support (additional) CI/CD and validated learning environment for science, machine learning and AI capabilities for all areas customer-facing like digital omni-channel interaction and commerce, commerce relevance, personalisation, loyalty and marketing and non-customer-facing like assortment optimization, supply chain optimization, external parties and IoT.
We will be working on end to end functionality including architecture, data preparation, processing and consumption by systems.
RESPONSIBILITIES
As Data Engineer you'll be working with alongside data architects to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization. You will be creating the pipeline for data processing, data visualization, and analytics products, including automated services, and APIs.
You will be the go-to person for end-to-end data handling, management and analytics processes.
You will:
- Ingest data-sources into our data management platforms
- Structure data into a scalable and easily understood architecture
- Work in a multi-disciplined team where you'll turn data discoveries and ideas into models and insights. You'll find how to leverage the data and the models to create and improve products for our customers, in lean development cycles.
- Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses;
- Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts.
SKILLS
MUST
Essential Experience Required
- Python/Pyspark
- Azure Databricks
- Basic knowledge in Azure Data factory.
- SQL
- 5+ years industrial experience in the domain of large-scale data management, visualization and analytics
Other qualifications
- MSc in a computational field or another relevant area
- Hands-on experience incl. solid programming to implement pipelines integrating database management systems, cleaning data and improving its data quality
- Expertise in advanced data modelling
- Experience with Microsoft data management tools and the Azure platform environment
- Curious, proactive, fast learner able to quickly picking-up new areas
- Experience with agile methodologies
- Perfect communication skills
- Hands-on!
- Can Do approach!
NICE TO HAVE
- Working on cloud-based big data solutions using Hadoop/Spark;
- SSAS cube development;
- Enterprise BI reporting - Power BI;
- Azure DevOps - CI/CD.
- 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
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