Data Engineer
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Over 30 years providing HR solutions to clients and candidates Type:
Full-time, long-term
We are looking for an experienced
Data Engineer
to join our growing data team and contribute to the design, optimization, and operation of scalable data platforms. You will work with modern data technologies, supporting complex business use cases and ensuring high-performance, reliable data pipelines.
Databricks & Spark
Optimize slow-running Spark jobs to improve performance and cost efficiency.
Implement storage optimization using
Delta Lake
features such as Z-ordering and partitioning.
Manage and fine‐tune Databricks cluster configurations.
Install and manage libraries across environments.
Apply and maintain
Medallion Architecture
(Bronze, Silver, Gold layers).
Translate complex business requirements into efficient data processing logic.
PySpark & SQL
Apply partitioning and bucketing strategies for performance optimization.
Handle skewed data and optimize large‐scale joins.
Develop complex joins, advanced SQL queries, and window functions.
Use broadcast joins and repartitioning where appropriate.
Work with
CTEs
and structured/semi‐structured data, including
JSON
formats.
Perform detailed requirement analysis for complex business processes.
Develop, debug, and optimize ADF pipelines.
Implement event‐based triggers and incremental data loading strategies.
Create and manage
EDF pipelines
and orchestrate multiple dependent pipelines.
Design reusable and generic ADF pipelines to support multiple use cases.
Airflow
Develop and maintain Airflow DAGs.
Write custom operators and sensors.
Handle task retries, failure scenarios, and recovery strategies.
Use
XComs
for inter‐task data sharing.
Proven experience as a
Data Engineer
working with large‐scale data platforms.
Strong hands‐on experience with
Databricks, Spark, and PySpark .
Solid knowledge of
Delta Lake
and data lake best practices.
Experience with
Azure Data Factory
for pipeline orchestration.
Strong experience with
Apache Airflow .
Advanced SQL skills and strong understanding of data modeling.
Ability to analyze complex business requirements and translate them into technical solutions.
Strong problem‐solving skills and attention to performance optimization.
Nice to Have
Experience with cloud platforms (Azure preferred).
Knowledge of CI/CD for data pipelines.
Experience working in Agile environments.
Familiarity with data governance and data quality frameworks.
What We Offer
Opportunity to work on complex, high‐impact data projects.
Modern data stack and exposure to best‐in‐class technologies.
Competitive salary and benefits package.
Career growth, continuous learning, and technical development.
Hybrid or remote working model (depending on location).
Send your CV to
jobs@optiwisers.com
Subject:
Data Engineer (Banking)
Referrals increase your chances of interviewing at Optiwisers by 2x.
Seniority Level Mid‐Senior level
Employment Type Full-time
Job Function Information Technology and Consulting
Industries Banking