Submitting more applications increases your chances of landing a job.

Here’s how busy the average job seeker was last month:

Opportunities viewed

Applications submitted

Keep exploring and applying to maximize your chances!

Looking for employers with a proven track record of hiring women?

Click here to explore opportunities now!
We Value Your Feedback

You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for

Would You Be Likely to Participate?

If selected, we will contact you via email with further instructions and details about your participation.

You will receive a $7 payout for answering the survey.


User unblocked successfully
https://bayt.page.link/jQCNW84WHDiLXYMbA
Back to the job results
Other Business Support Services
Create a job alert for similar positions
Job alert turned off. You won’t receive updates for this search anymore.

Job description

We are seeking a Data Engineer with 2 to 4 years of experience to design, build, and maintain scalable data pipelines using Databricks and cloud‑based data platforms. The ideal candidate will have hands‑on experience with Databricks Lakehouse architecture, building reliable ETL/ELT pipelines, and enabling analytics and data science use cases across the organization.


Your role will also include overseeing, supervising and reviewing tasks performed by team members to ensure effective execution of work; managing end‑to‑end processes and projects for both internal and external clients with responsibility for timely and accurate delivery; issuing clear instructions and directions to team members on tasks to be performed; and mentoring and guiding junior colleagues to support their skill development, professional growth, and overall success



Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
Responsibilities:

Key Responsibilities


  • Design, develop, and maintain data pipelines using Databricks (PySpark / Spark SQL)
  • Implement and optimize ETL/ELT workflows using Databricks jobs, notebooks, and workflows
  • Build and manage Delta Lake tables, ensuring data reliability, performance, and ACID compliance
  • Develop and optimize data models for analytics, BI, and downstream consumption
  • Work with batch and streaming data processing using Spark Structured Streaming (where applicable)
  • Collaborate with data scientists, analysts, and product teams to deliver trusted datasets
  • Ensure data quality, validation, and monitoring across pipelines
  • Optimize Spark jobs for cost and performance (partitioning, caching, tuning)
  • Follow best practices for code versioning, documentation, and deployment
  • Support production workloads and assist with troubleshooting data issues

Qualifications:

Required Qualifications


  • 2–4 years of professional experience as a Data Engineer 
  • Strong hands‑on experience with Databricks platform
  • Proficiency in Python (PySpark) and Spark SQL
  • Solid experience with Delta Lake, including merges and time travel
  • Strong SQL skills for data transformation and analysis
  • Experience with cloud data storage (AWS S3 / Azure Data Lake / GCP Cloud Storage)
  • Understanding of data warehousing and lakehouse concepts
  • Experience with ETL orchestration tools (Databricks Workflows, Airflow, Azure Data Factory, etc.)
  • Familiarity with Git and version control practices

Preferred / Nice to Have Skills


  • Experience with streaming technologies (Kafka, Event Hubs, Kinesis)
  • Exposure to dbt, Unity Catalog, or Databricks governance features
  • Knowledge of cloud security, IAM, and cost optimization
  • Experience supporting BI tools (Power BI, Tableau, Looker)
  • Understanding of data science or ML workflows on Databricks
  • Experience working in Agile/Scrum teams
This job post has been translated by AI and may contain minor differences or errors.

You’ve reached the maximum limit of 15 job alerts. To create a new alert, please delete an existing one first.
Job alert created for this search. You’ll receive updates when new jobs match.
Are you sure you want to unapply?

You'll no longer be considered for this role and your application will be removed from the employer's inbox.