Senior Data Engineer: Data Platform & Compliance Leader

JobCubby

Amsterdam

Hybrid

EUR 90,000 - 125,000

Full time

4 days ago

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Benefits offered by this job

Vacation days

Pension scheme

13th month salary

8% Holiday pay

Hybrid working

Job summary

ING is seeking a Senior Data Engineer to design, build, and maintain scalable data platforms and analytics solutions with a strong focus on security, governance and operational reliability. You will handle data modelling, warehousing, ETL/ELT, and self-service BI across cloud environments, while mentoring junior engineers and driving CI/CD practices.

You will collaborate across teams to ensure data quality, regulatory compliance, and robust disaster recovery, leveraging Hadoop/Hive/Spark on EMR

Qualifications

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
Proven experience as a Senior Data Engineer or similar role.
Strong expertise in data modelling, data warehousing, ETL/ELT design, and large-scale data processing.
Hands-on experience designing and implementing CI/CD pipelines for data platforms and applications.
Extensive experience with big data technologies such as Hadoop, Hive, Spark, or similar frameworks.
Strong programming skills in Python, Java, or Scala.
Experience developing and supporting self-service BI and analytics solutions.
Proven track record of mentoring engineers and leading technical initiatives.
Experience managing technology risks, controls, compliance requirements, and audit activities.
Familiarity with ITRMP, operational risk management, security controls, and asset compliance processes.
Experience working in Agile development environments.

Responsibilities

Support data analysis initiatives by enabling high-quality, trusted datasets and collaborating with business stakeholders.
Hands on experience in creating data models and deploying CI/CD pipelines.
Own and drive data platform compliance activities, including ITRMP controls, audit support, risk remediation, vulnerability management, disaster recovery testing, and asset governance.
Ensure all data lake assets comply with ING security, architecture, data governance, and regulatory requirements.
Extensive experience in developing self-service BI solutions, managing integrated datasets, and coordinating data projects.
Experience in maintaining data warehouse systems and working on large scale data transformation using EMR, Hadoop, Hive, or other Big Data technologies.
Experience mentoring and managing other Data Engineers, ensuring data engineering best practices are being followed.
Experience with cloud resource management, capacity planning, cost optimization, and platform scalability.
Experience with coding languages like Python/Java/Scala.
Continuous collaboration within the team to challenge each other and share knowledge.
Experience with Power BI and modern cloud-based data platforms (Azure, AWS, or GCP) is preferred.