Roles:
Data
Must-have skills:
NoSQLPythonSQL
One of skills:
HadoopKafkaSpark
Nice-to-have skills:
AWSAzureGCP
Considering candidates from:
Austria, France, Germany, Ireland, Italy, Poland, Spain, Switzerland and United Kingdom
Austria, France, Germany, Ireland, Italy, Poland, Spain, Switzerland and United Kingdom
Work arrangement: Onsite or hybrid
Industry: IT Services and IT Consulting
Language: English
Level: Senior
Required experience: 5+ years
Relocation: Paid
Visa support: Provided
Size: 11 - 50 employees
Company
Technis is a software company that centralizes data on a single platform, allowing businesses to make informed decisions with accurate and up-to-date information. Our suite of four applications - Technis Flow, Technis Comfort, Technis Energy, and Technis Behavior - provide consolidated financial, marketing, and operational indicators for businesses in the real estate, retail, facility & office management, education, and transportation segments. With Technis, businesses can optimize their operations, improve customer experience, and reduce their environmental footprint. Join us in transforming the way businesses make decisions with data-driven insights.
Description
Tasks
- Design & Develop. Collaborate closely with your project team to develop scalable and efficient data pipelines, ensuring high-quality data ingestion, processing, and storage solutions.
- Write Specs. Work with our Product and Delivery Managers to regularly refine the definition of the work in the product backlog, contributing expertise and gaining clarity when needed.
- Estimate. Provide feedback on designs for completeness, implementation effort, and feasibility.
- Plan. Collaborate with the Product team to plan future cycles by contributing to story definition, providing work estimates, and regularly identifying technical dependencies and blockers.
- Push. Understand and advocate for ongoing cycle goals and help motivate our teams to finish those cycles on time and with minimal technical debt.
- Pair. Review your team members' code submissions to ensure it meets the needs of the project in terms of quality, correctness, consistency, and performance.
- Communicate. Participate in regular shares with stakeholders on project progress and delivered features and functionality.
- Teach. Support the engineering department by sharing the technical knowledge you learn with your project teams.
- Debug. Identify when your team members are stuck on a technical challenge and offer support.
- Document. Produce documentation on methods, decisions, technical approaches, and other context to improve the developer experience on our projects.
Requirements
- 5+ years of experience in data engineering.
- Proficiency in building and maintaining data pipelines using technologies such as Apache Kafka, Spark, and Hadoop.
- Strong experience with SQL and NoSQL databases (i.e., PostgreSQL, MySQL, MongoDB).
- Hands-on experience with cloud platforms like AWS, GCP, or Azure.
- Knowledge of data modeling, ETL processes, and data warehousing solutions.
- Excited to learn new technologies and adopt new solutions to deliver amazing products and further your depth of knowledge as an engineer and technologist.
- Contributed to technical design discussions and helped evaluate different technical solutions to influence architectural decision making.
- Comfortable following general agile delivery methodologies and participating in regularly scheduled meetings and ceremonies (generally only two per week).
- Organized, self-motivated, and comfortable advocating for your needs, the needs of the project, and the needs of the team.
- Experience as a tech lead or technical management role is a plus, but not a requirement.
Benefits
- An opportunity to join a fast-paced, growing startup where you can have an immediate impact.
- A stimulating and empowering work environment with a team of true enthusiasts.
- Modern office in the heart of the city.
- Lots of flexibility, autonomy, and daily challenges!
- 25 days of paid time-off + local bank holidays
- A budget for attending events and conferences
Recruitment Process
- Exchange with our CTO to understand your background & career goals.
- Technical challenge.
- Challenge review & team fit.
- Interview with Wiktor Bourée, CEO & Founder.
- Response and offer if successful.