Senior Data Engineer at Hiflylabs

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Databricks, Snowflake, Azure, AWS, Data Modeling, Data Platforms, Lakehouse Architectures, Testing, Technical Leadership, Mentoring, Business Logic Assessment, Proposal Submission, Time Estimation, Consultancy, Communication

Industry

IT Services and IT Consulting

Description

Company Description Let’s have a conversation now and get a head start later in the recruitment process! Hiflylabs is a Budapest-based company. We have 250+ employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems. Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors. We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development. Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups. Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel! Job Description Responsibilities Understanding and aligning with business needs, identifying related data requirements Participating in technical pre-sales activities, including effort estimation, and proposal creation Architecting and planning robust data models and modern data platforms. Acting as the senior technical lead for the development of cloud data solutions, with a focus on lakehouse architectures Planning and leading testing activities Leading and mentoring project teams (3-6 members) Qualifications Requirements 5+ years of data engineering experience Hands-on experience with Databricks/Snowflake/Azure/AWS-based data platforms Proficiency in assessing business logic, proposal submission, and time estimation 2+ years of experience in a technical leadership or team lead role, guiding data warehouse/lakehouse migration or development projects Project experience from a consultancy background Customer-oriented approach Strong communication skills and proactivity Professional working proficiency in both English and Hungarian (written and spoken) Problem-solving skills, creativity Nice to have Hands-on experience with legacy on-premise platforms (Oracle, MSSQL) Experience in international projects Additional Information Why us? Diverse projects: In each assignment there is always something new either on the technical or on the business side that helps you grow. Cutting edge technology: You will work with many of the most up-to-date technologies and tools. Strong and motivating team: We stress the importance of working together in tight-knit, cohesive teams in which members help each other to reach the common goal. Work-life balance: We help you to feel good individually as well, and coordinate work so as it should align with your leisure activities. Professional development: There are team gatherings on a regular schedule where colleagues can share their knowledge, and have deep technical discussions. Focus on company culture: In addition to our business and professional achievements we are proud of the social bonding in the company, which is based on mutual respect and helping one another. Personal mentoring: You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones. Tag: DATA ENGINEERING

Responsibilities

Responsibilities include understanding business needs, identifying data requirements, participating in technical pre-sales, and architecting robust data models and modern data platforms focusing on lakehouse architectures. The role also involves acting as the senior technical lead, planning testing, and leading/mentoring project teams of 3-6 members.