MoOngy03.02.26
AI SCORE 8.2

Senior SQL Developer - Remote Opportunities Available

$90K–$120K/year

About the Role

We are seeking a talented Senior SQL Developer to join our dynamic team at MoOngy. This Senior SQL Developer remote position offers the chance to work on innovative data processing applications while collaborating with a diverse group of professionals. You will play a key role in designing and developing solutions that enhance our data processing capabilities.

What You'll Do

  • Contribute to the conception, design, and development of data processing solutions.
  • Develop and optimize complex SQL queries for batch data processing.
  • Work collaboratively within an Agile team to deliver high-quality solutions.
  • Ensure code quality, version control, and deployment through CI/CD pipelines.
  • Collaborate with stakeholders in a multicultural environment.

Requirements

  • Mandatory: Spark SQL experience.
  • At least 5 years of professional experience in an MS-SQL development environment, preferably in Data Processing projects.
  • Strong expertise in Transactional SQL and Relational Databases (PostgreSQL).
  • Hands-on experience with CI/CD tooling (e.g., GitLab, Liquibase).
  • Familiarity with Agile methodologies.
  • Proficiency in English (minimum B2 level).

Nice to Have

  • Experience with cloud platforms (e.g., AWS, Azure).
  • Knowledge of data warehousing concepts.
  • Familiarity with data visualization tools.

What We Offer

  • International Mobility: Access to a dedicated international mobility department with personalized relocation programs.
  • Career Development: Opportunities to work on projects with cutting-edge technologies in different countries.
  • Continuous Learning: Access to ongoing and free training and career-oriented certifications.
  • Personal Growth: Exchange of ideas and best practices among professionals across Europe.
  • Global Citizen in the World of Technology: Opportunity to work in a global network of companies.
Language Requirements
EnglishB2
French(optional)
BasicIntermediateAdvancedNative
Why This Job8.2 of 10

This Senior SQL Developer position at MoOngy offers a unique opportunity to work remotely on innovative data processing projects with a competitive salary and relocation support.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About MoOngy

Explore MoOngy careers in 2026 and uncover exciting job opportunities tailored to your preferences. Browse remote, hybrid, and office roles while utilizing our advanced filters, application tracking, and company insights to enhance your job search experience. Discover the perfect position at MoOngy and take the next step in your career with us today. Join a dynamic team and thrive in your professional journey.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in SQL and Spark SQL with hands-on experience in PostgreSQL, demonstrating the ability to optimize complex queries and ensure efficient database performance.

Strong understanding of CI/CD processes and tools like GitLab, with a mindset for automating deployment pipelines and a keen interest in Agile methodologies to enhance team collaboration.

A proactive problem-solver with a growth mindset, capable of adapting to evolving technologies and contributing innovative ideas to enhance data processing capabilities.

Learning Resources

SQL Tutorial for Beginnersguide

Career Path

Senior SQL Developer(Now)Data Engineer(1-2 years)Database Architect(3-5 years)

Market Overview

Market Size 2024
$25B
Annual Growth
10.5%
AI Adoption
45%
Investment
+60%
Labour Demand
+20%
Avg Salary
$115K

Skills & Requirements

Required
SQLSpark SQLPostgreSQL
Growing in Demand
Data WarehousingCloud SQL (AWS RDS, Google Cloud SQL)ETL Tools (e.g., Apache NiFi)
Declining
MySQL (legacy versions)Oracle PL/SQL

Domain Trends

Increased Use of Cloud-Based SQL Solutions
By 2025, 70% of organizations are expected to migrate their SQL databases to cloud platforms, driven by cost efficiency and scalability.
Integration of AI in Database Management
45% of SQL developers are now using AI tools for query optimization and predictive analytics, improving data processing efficiency by 30%.
Rise of Real-Time Data Processing
The demand for real-time data processing is projected to grow by 25% annually, with technologies like Spark SQL becoming essential for businesses.

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