Databricks Engineer
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
Strong value offering due to high demand for data engineering skills and benefits related to professional development.
- High demand for data engineering roles and skills.
- Opportunities for professional growth and collaboration.
- Engage in innovative projects with a respected tech firm.
Pros
- Reputable company in a rapidly growing tech sector.
- High demand for Databricks skills provides job security.
- Opportunities for continuous learning and professional development.
Cons
- Requires advanced technical skills that may limit applicants.
- Fast-paced work environment could be stressful.
- Potentially long hours during project deadlines.
Who it's for
Senior-level • On-site/Remote
Good fit
- Data engineers with expertise in cloud technologies
- Professionals seeking dynamic and innovative work environments
- Tech enthusiasts eager to use data for solving real-world problems
Not recommended for
- Candidates without technical backgrounds
- Individuals looking for strictly routine tasks
- Those unwilling to adapt to rapidly changing technology landscapes
Motivation fit
Key skills
About the job
Job Description
About TheAILabb:
TheAILabb is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to enhance digital experiences and drive business growth. We are looking for a Data Analyst to help translate raw data into meaningful insights that drive strategic decision-making.
TheAILabb is seeking a skilled Databricks Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures.We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsiblities
- Design, implement, and optimize big data pipelines in Databricks.
- Develop scalable ETL workflows to process large datasets.
- Leverage Apache Spark for distributed data processing and real-time analytics.
- Implement data governance, security policies, and compliance standards.
- Optimize data lakehouse architectures for performance and cost-efficiency.
- Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows.
- Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks.
- Automate workflows using CI/CD pipelines and infrastructure-as-code practices.
- Ensure data integrity, quality, and reliability in all pipelines.
Basic Qualifications
- Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.
- 5+ years of hands-on experience with Databricks and Apache Spark.
- Proficiency in SQL, Python, or Scala for data processing and analysis.
- Experience with cloud platforms (AWS, Azure, or GCP) for data engineering.
- Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture.
- Experience with CI/CD tools and DevOps best practices.
- Familiarity with data security, compliance, and governance best practices.
- Strong problem-solving and analytical skills with an ability to work in a fast-paced environment.
Preferred Qualifications
- Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer).
- Hands-on experience with MLflow, Feature Store, or Databricks SQL.
- Exposure to Kubernetes, Docker, and Terraform.
- Experience with streaming data architectures (Kafka, Kinesis, etc.).
- Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker).
- Prior experience working with retail, e-commerce, or ad-tech data platforms.
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
