Jabil

Database Engineer

Jabil

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇵🇱 Poland

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAmazon RedshiftAzureBigQueryCloudETLKafkaPythonSparkSQLTerraformVault

About the role

  • Design, build, and maintain ETL/ELT pipelines and data workflows (e.g., Azure Data Factory, Databricks, Spark, ClickHouse, Airflow, etc.)
  • Develop and optimize data models, data warehouse/lake/lakehouse schema (partitioning, indexing, clustering, cost/performance tuning, etc.)
  • Build scalable batch and streaming processing jobs (Spark/Databricks, Delta Lake; Kafka/Event Hubs a plus)
  • Ensure data quality, reliability, and observability (tests, monitoring, alerting, SLAs)
  • Implement CI/CD and version control for data assets and pipelines.
  • Secure data and environments (IAM/Entra ID, Key Vault, strong tenancy guarantees, encryption, least privilege)
  • Collaborate with application, analytics, and platform teams to deliver trustworthy, consumable datasets.

Requirements

  • ETL or ELT experience required (ADF/Databricks/dbt/Airflow or similar)
  • Big data experience required
  • Cloud experience required; Azure preferred (Synapse, Data Factory, Databricks, Azure Storage, Event Hubs, etc.)
  • Strong SQL and performance tuning expertise; hands-on with at least one warehouse/lakehouse (Synapse/Snowflake/BigQuery/Redshift or similar)
  • Solid data modeling fundamentals (star/snowflake schemas, normalization/denormalization, CDC, etc.)
  • Experience with CI/CD, Git, and infrastructure automation basics.
  • Nice to Have Streaming pipelines (Kafka, Event Hubs, Kinesis, Pub/Sub) and exactly-once/at-least-once patterns.
  • Orchestration and workflow tools (Airflow, Prefect, Azure Data Factory).
  • Python for data engineering.
  • Data governance, lineage, and security best practices.
  • Infrastructure as Code (Terraform) for data platform provisioning.
Benefits
  • Health insurance
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ETLELTdata modelingSQLperformance tuningPythoninfrastructure as codestreaming pipelinesdata governancedata quality
Soft skills
collaborationcommunication