Data Engineer

We are currently looking for:

Data Engineer

Job location: Remote from Poland

You will be responsible for:

As Data Engineer you'll be working 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.

• 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

​We require:

• Python/Pyspark
• Knowledge of Azure Data Platform (Azure Data Lake gen2/Storage account, Azure Data Factory, Azure SQL, Azure Data Bricks, Key Vault, CosmosDB, App Services, Azure Analysis Services, Docker/Kubernetes, Azure Stream Analytics)
• Solid knowledge about Data engineering (processing huge amounts of data, ETL/ELT, Data lakes, data warehouses)
• 5+ years of industrial experience in the domain of large-scale data management, visualization and analytics
• 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/performance
• Expertise in (advanced) data modelling
• Strong understanding of Data & Analytics services and technologies, including Microsoft Azure Analytics services
• Experience with Microsoft data management tools and the Azure platform environment
• Curious, proactive, fast learner able to quickly pick up new areas
• Can communicate effectively with external stakeholders
• 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;
• Enterprise BI reporting - Power BI;
• Azure DevOps - CI/CD

Why would you join us?
As a team, we offer our knowledge, experience, support, sympathy and honesty. We are happy to teach, and we understand that sometimes mistakes are an integral part of learning. We are enthusiastic about a job we do and we want to share this joy with you.
As a company, we offer a steady job in an international company in a heavily invested area, where you will encounter multiple opportunities to cooperate with inspiring people from across the world. A place where you can learn, work with experts, share your knowledge and enjoy many social activities and events prepared for our Employees.

Additionally, we offer:

• stable employment in an international company
• advancement opportunities within the organization (a variety of exciting projects with an array of technologies and tools)
• flexibility in work arrangement (hybrid or fully remote work, the home office culture is in our DNA)
• modern and conveniently located offices in Wrocław and Warsaw
• an onboarding buddy’s support to make you feel comfortable in our company from day one
• substantial medical insurance package provided in cooperation with the biggest medical services provider in Poland
• life insurance package
• Multisport Card
• workplace equipment to organize your home office (e.g., additional monitor, headset etc.)
• unlimited access to DXC University with courses from a bunch of external partners for the best learner's experience (e.g., LinkedIn Learning, Udemy)
• access to a foreign language learning platform
• DXC Partner courses and certifications (Microsoft, SAP, ServiceNow, AWS, Google, Dell Technologies, IBM, Microfocus, Salesforce, Red Hat, VMware, Workday)
• Employee Referral Program - a financial bonus for the referrer for a successful candidate recommendation
• Employee Recognition Program with points assigned by colleagues for the recognized employees (exchangeable for prizes)
• Employee Assistance Program (providing 24/7 support for employees and their families in difficult life situations)
• opportunity to join our numerous charity and ecology-related events organized by our CSR Team (Corporate Social Responsibility)
• DiXi Cool activities: trips, sports and wellness events, discounts for cultural events

#LI-remote