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Fiserv

Data Lakehouse Engineer - Commerce Hub

Reposted 17 Days Ago
Be an Early Applicant
In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
The Data Engineer at Fiserv develops data pipelines and ETL processes, optimizes data workflows, and integrates data systems to ensure effective analytics and reporting.
The summary above was generated by AI

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Data Lakehouse Engineer - Commerce Hub

What does a successful Data Lakehouse Engineer do: 

We are seeking a talented and experienced Data Lakehouse Engineer to join the Data Solutions domain in EMEA. In this role, you will design, build, and optimize scalable lakehouse and data platform solutions that enable data-driven decision-making across the organization. You will collaborate closely with cross-functional teams to create resilient ingestion and transformation pipelines while ensuring reliability, performance, and high-quality data across the ecosystem.

What you will do:

  • Contribute to the design and implementation of lakehouse integration architectures, including data flows, process flows, and ELT/ETL patterns.
  • Build, optimize, and maintain scalable data pipelines for ingestion, processing, and storage across data lake and lakehouse layers.
  • Implement and uphold data governance, security, lineage, and compliance best practices throughout the data lifecycle.
  • Monitor, troubleshoot, and fine‑tune data workflows, compute jobs, and storage layers to ensure high performance and reliability.
  • Provide production support, ensuring robust system observability with proactive detection and resolution of issues.
  • Collaborate with platform, analytics, and engineering teams to ensure efficient data modeling, table design, and storage optimization (e.g., Iceberg/Delta patterns).

What you need to have:

  • 5+ years of experience in a data engineering or similar role within a fast‑paced, enterprise-scale environment.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
  • Strong Proficiency in SQL and Data Integration Platforms such as IBM Streamsets or Informatica with thorough understanding of data transformation and orchestration processes.
  • Extensive Experience with AWS services, including IAM, Lambda, EKS, S3 (Data Lake), EMR (PySpark), MWAA, and Lakehouse technologies (Apache Iceberg).
  • Proven expertise with Snowflake, including performance tuning and efficient query design.Experience with batch pipelines (e.g., StreamSets) and streaming technologies (e.g., Kafka).
  • Nice to have - Data Transformation Frameworks such as DBT.
  • Experience with both batch (StreamSets) and streaming (Kafka) data solutions.
  • Familiarity with data modelling concepts (Inmon, Kimball, Data Vault, etc.).
  • Exposure to CI/CD or Infrastructure-as-code (Terraform or any other) is a plus.
  • Application Performance Monitoring Framework experience is a plus.
  • Knowledge of data quality and security best practices is advantageous.
  • Ability to understand complex architecture solutions and make sound estimates for the implementation.
  • Strong attention to detail, with a proactive approach to identifying and resolving problems.
  • A genuine interest in emerging data technologies and a curiosity about continuous improvements
  • Excellent verbal and written communication skills.
  • Attention to detail mindset, proactively identify problems & evaluate solutions
  • Comfort working in an AI‑empowered, automation-driven environment

#LI-1IB

Thank you for considering employment with Fiserv.  Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Top Skills

Dbt
ETL
Java
Kafka
Linux
Python
Scala
Snowflake
Spark
SQL
Streamsets

Fiserv Dublin, Dublin, IRL Office

10 Hanover Quay, Dublin, Ireland, D02 K510

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