高级数据工程师

UpSkill is a recruitment agency ready to go the extra mile to help candidates find the best possible job opportunity. Our team of experts is well-versed and experienced in consulting and providing long-term HR support.

We believe that being friendly is the best policy, and that's why we are eager to help you through the whole lifecycle of recruitment. Our team comes with 15 years of recruitment experience behind its back. At any given moment, we can offer multiple opportunities from different companies in need of a wide variety of talent.

If you are interested in starting a new job, we will present you with multiple opportunities, will be there to answer all your questions, help you prepare for interviews and tests, provide essential feedback and even guide and support you through the process of recruitment up to the first day at your new job. We support both large international and local companies in growing their business, providing them with the best talent to help them succeed!
Our current client is a global data and technology company. On their behalf, we are currently looking for an experienced Data Engineer, who would be willing to join and help them grow on a local and global level. If you are curious about this exciting opportunity, then this might be the chance you have been waiting for!
Responsibilities:

• Develop advanced data engineering solutions supporting data analysis and ad-hoc insights;

• Design scalable, cloud-native data platforms and pipelines for structured and unstructured data;

• Develop scalable ETL/ELT pipelines using modern cloud-native services;

• Lead the design and optimization of complex, multi-platform data architectures to improve performance, scalability and growth;

• Apply best practices across data quality, governance, lineage, security and observability;

• Collaborate with analytics, product, engineering and business stakeholders to translate requirements into reliable, high-value data solutions;

• Provide technical guidance and mentorship, ensuring adherence to established engineering standards and quality procedures;

• Develop and improve data solutions using modern cloud technologies (e.g., S3, Redshift, Glue or equivalent services).

Requirements:

• 4+ years in a similar role as a Senior Data Engineer;

• Fluent English;

• Bachelor's degree in computer science, Mathematics, Statistics or a related quantitative field;

• Experience developing data engineering solutions in AWS environments;

• SQL expertise and solid programming skills (Python / PySpark preferred);

• Hands-on experience with ETL/ELT, distributed processing and modern data architecture patterns;

• Experience with integration patterns and secure data handling practices;

• Experience working in Agile teams.

The company offers:

• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time;

• Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more;

• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events;

• Opportunity for flexible working hours and home office;

• Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials and books.

If you meet the above-mentioned criteria, don't hesitate to apply!
We welcome the opportunity to learn more about you!
Please send your CV in English.
Please note that only short-listed candidates will be contacted.
License No.2826. We will treat your application with full confidentiality!

Originally posted on Himalayas