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Lead Data Solutions Engineer

Il y a 3 mois

Paris, Île-de-France Adikteev Temps plein

★ ABOUT US

At Adikteev, we energize the app ecosystem by motivating users to interact with the applications they cherish. Our expertise lies in user retention, enhancing in-app revenue, and fostering user loyalty through tailored retargeting and churn prediction initiatives.

★ OUR APPROACH

  • Ownership and Commitment: Our foremost objective is to ensure our clients are not just satisfied but ecstatic. We embrace bold decisions, tackle challenges head-on, and see them through to completion.
  • Embracing Change: We don't merely confront obstacles; we anticipate them. Agility defines us, and we are committed to perpetual learning. Adaptability is our formula for success.
  • Purposeful Impact: Our mission is to create a significant difference. Every choice and action we undertake is directed towards making a meaningful contribution.
  • The ADIKTEAM Spirit: We are more than just a team; we are the ADIKTEAM. Each member is an essential part of our collective, and we continuously seek exceptional talent.

★ YOUR ROLE

  • Ensure the seamless operation of our data infrastructure: oversee data storage, processes, and scheduling;
  • Guarantee data availability: manage processing, storage, aggregation, and API development;
  • Introduce innovative ideas to enhance our tools and workflows;
  • Propose new and exciting solutions to elevate our data infrastructure;
  • Oversee our data science algorithms: ensure scalability and optimal performance;
  • Collaborate closely with our SCRUM team;
  • Monitor the scalability of our data systems to accommodate our expanding needs;
  • Optimize our data processes by integrating effective testing, monitoring, alerting, and error recovery.

★ YOUR PROFILE

You will be an excellent addition to the Engineering team at Adikteev if you:

  • Possess strong expertise in Spark, Scala, and managing large-scale data systems;
  • Are proficient in at least one major cloud platform (AWS, GCP);
  • Have experience with data streaming and constructing data lakes;
  • Are knowledgeable about CI/CD pipelines and tools;
  • Have hands-on experience with Kafka for real-time data processing;
  • Are skilled in Python, with familiarity in Redis and Cassandra;
  • Have utilized Airflow for workflow management;
  • Exhibit strong problem-solving abilities to address complex challenges;
  • Communicate fluently in English.

We aim to build a diverse team with a variety of profiles and backgrounds.

★ BENEFITS

  • Competitive Salary;
  • Performance-based quarterly bonuses with transparent KPIs;
  • Profit-sharing scheme;
  • Longevity bonuses every two years;
  • Comprehensive healthcare plan (50% of the contribution covered by Adikteev);
  • €9 Lunch Vouchers (50% of the contribution covered by Adikteev);
  • 4.5-day work week (Friday afternoons off);
  • RTT;
  • 50% of transportation fees covered (Navigo Pass);
  • Mental health support;
  • Flexible remote working policy;
  • Regular team-building events;
  • Parental leave policy.

★ OUR RECRUITMENT PROCESS

  • Initial call with our Talent Acquisition Partner;
  • Technical interview with our Technical Leader and Staff Engineer;
  • Interview with the Engineering Manager;
  • Final interview with the CTO and CHRO.

We prioritize people over titles.

At Adikteev, we appreciate talent in all its diverse forms and qualifications. If you believe this position aligns with your skills and career goals, we encourage you to consider applying, even if you don't meet every requirement.

As an equal opportunity employer, Adikteev is committed to creating an inclusive environment for all employees and applicants.