Senior Databricks Solutions Consultant
Budapest, Hungary
Hiflylabs
We make data, AI, and digital products work. Data strategy, Data engineering, AI, data science, data visualization, digital product development.Company Description
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
About the Job/What will you do?
As a Senior Databricks Solutions Consultant, you will work closely with clients to deliver high-impact data engineering solutions on the Databricks platform. In this hands-on role, you will contribute to the design, development, and optimization of data platforms while collaborating with more senior architects and technical leads. You will support client success by applying best practices in data engineering and by helping teams adopt Databricks effectively. This is a remote role, with occasional travel or on-site presence to be agreed upon in advance.
Main Tasks
- Work with clients on the development and optimization of scalable data pipelines using Databricks and Apache Spark.
- Support the design and implementation of data lakehouse architectures
- Assist in the integration of data engineering solutions with existing cloud platforms (AWS, Azure, or GCP).
- Participate in client workshops, technical discovery sessions, and knowledge-sharing activities.
- Troubleshoot performance and reliability issues in data pipelines and contribute to their resolution.
- Help deliver technical enablement such as user training sessions, documentation, or internal demos.
Qualifications
Requirements
- 4+ years of hands-on experience in data engineering roles.
- Strong working knowledge of Databricks, with at least 2-3 successfully delivered projects.
- Strong proficiency in SQL for querying, transforming, and analyzing large datasets.
- Experience with developing and optimizing Apache Spark in real-world applications.
- Proficiency in Python, Scala, or Java for data pipeline development.
- In-depth experience with at least one cloud environment such as AWS, Azure, or GCP.
- Familiarity with data workflow orchestration, testing, and version control tools (e.g., Airflow, Git).
- Strong communication skills and a proactive, learning-oriented mindset.
- Fluency in English (both spoken and written) at a strong, professional level.
Nice to have:
- Completed the following certifications and training:
- Databricks Certified Data Engineer Professional
- Apache Spark Programming with Databricks
- Experience working in consulting or customer-facing roles.
- Exposure to data science or ML workflows on Databricks, including MLFlow.
- Familiarity with BI tools and SQL-based data exploration.
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: We 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure Business Intelligence Consulting Data Analytics Databricks Data pipelines Engineering GCP Git Java Machine Learning MLFlow Pipelines Python Scala Spark SQL Testing
Perks/benefits: Career development
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