Senior Data Engineer H/F
Role details
Job location
Tech stack
Job description
Keep our data infrastructure running smoothly: manage data stores, processes, and scheduling ;
- Make sure data is always available: oversee processing, storage, aggregation, and API development ;
- Bring in fresh ideas to improve our tools and workflows ;
- Suggest new and exciting solutions to upgrade our data infrastructure ;
- Manage our data science algorithms: ensure they're scalable and running smoothly ;
- Work closely with our SCRUM team ;
- Keep an eye on our data systems' scale, making sure they can handle our growing needs ;
- Streamline our data processes by integrating efficient testing, monitoring, alerting, and error recovery., We are committed to transparent compensation practices. The salary range shown reflects total On-Target Earnings (OTE), including base salary and a performance-based Quarterly bonus with transparent KPIs. Final compensation will be tailored to each candidate's background, experience, skills, and overall fit for the role.
PERKS AND BENEFITS*
- CompetitiveSalary;
- Performance-basedQuarterlybonuswithtransparentKPIs;
- Longevitybonusevery2years;
- 41/2daysworkweek(Fridaysafternoonoff);
- RTT;
- MentalHealthsupport;
- Flexibleremoteworkingpolicy;
- Regularteam-lifeevent/activity ;
- InclusiveparentalleavePolicy.
*Most benefits are available to all employees. For remote team members based outside of France, benefits will be aligned with local laws and practices in your country of residence, ensuring support that's both relevant and compliant wherever you are.
OUR PROCESS
What to expect as you move through our hiring process:
- HR Call with Claire - Senior Talent Acquisition Partner,
- Technical interview with two members of our tech team,
- Team fit Interview with Aldenis, VP of Engineering and Lamyaa, Engineering Team lead,
- Final interview with Cédric, CTO, and Loïc, CPO.
If you require accommodations at any stage of the application process, please let us know. It will be handled confidentially by our HR and recruitment team.
OUR COMMITMENT
We're proud that our team already spans 22+ nationalities, diverse talent and unique backgrounds, and we want it to grow even more. If this role appeals to you, we welcome your application, even if you don't meet every single qualification. Not everyone gets through our hiring process, but your skills might be a great fit for another opportunity; now or in the future.
Adikteev is an equal opportunity employer. We are committed to building an inclusive environment for all employees, candidates, vendors and clients, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, marital status, or military status.
Requirements
Have rock-solid skills in Spark, Scala, and handling big data systems ;
- Are comfortable navigating around at least one of the big clouds (AWS, GCP) ;
- Are familiar with data streaming and building data lakes ;
- Know your way around CI/CD pipelines and tools ;
- Are hands-on with Kafka for handling real-time data ;
- Are a Python pro, with a side of Redis and Cassandra know-how ;
- Played around with Airflow for workflow management ;
- Have strong problem-solving skills to tackle complex challenges head-on ;
- Speak English fluently.
Please note that, to comply with employment regulations, applicants are required to maintain residency and be legally authorized to work in France or the European Union in order to be considered for this position., postgraduate degree EducationalOccupationalCredential bachelor degree EducationalOccupationalCredential associate degree
Benefits & conditions
Competitive Salary between 80,000 and 100,000€ OTE