Netcompany
Banking Services
SeniorDataOpsEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior DataOps Engineer at Netcompany. Skills: DataOps, ETL/ELT, Data Warehousing, SQL, CI/CD. Drive the automation of data management processes within a modern CI/CD environment. Design and implement scalable data models”
What You'll Achieve.
Ensure performance and reliability; Ensure data quality and consistency; Ensure high standards of data quality, completeness, and integrity; Drive improvement initiatives
Industry & Context.
Analytical and problem-solving skills; Troubleshoot complex data and system-related issues
What They're Looking For.
Must Have
Experience working in the data warehousing field, Proficiency in SQL, Knowledge of databases, Knowledge of data processing concepts, Knowledge of general data engineering principles, Experience with at least one ETL/ELT tool, Analytical and problem-solving skills, Good communication skills, Ability to work effectively in a team environment, Proficiency in the English language, A Bachelor's or Master’s degree in a relevant IT specialization
Nice to Have
Experience with SAS or Teradata tools, Experience with SAS DI Studio, Familiarity with tools such as Snowflake, Familiarity with tools such as dbt, Familiarity with tools such as Git, Familiarity with tools such as Erwin, Familiarity with tools such as Power BI
What You'll Do.
Drive the automation of data management processes within a modern CI/CD environment
Design and implement scalable data models
Orchestrate ETL/ELT pipelines
Manage and optimize data flows and data storage solutions
Ensure performance and reliability
Ensure data quality and consistency
Troubleshoot complex data and system-related issues
Ensure high standards of data quality
Create and maintain documentation for data processes
and operational procedures
Support the development and implementation of data governance processes
Ensure compliance with data security
and audit requirements
Conduct data quality assessments
Drive improvement initiatives
and best-practice support to team members on data management and DataOps principles
How You'll Work.
Team & Collaboration
Collaborate with data engineers, analysts, and business stakeholders; Work effectively in a team environment; International cooperation with colleagues from Denmark; Engage with each other across departments and projects
Communication Scope
Good communication skills; Proficiency in the English language
Full Job Description
In Netcompany Banking Services we deliver a range of different IT solutions and services to banks and savings banks in both Denmark and other Nordic countries. We provide a modern, cloud-based core banking platform to more than 50 Nordic banks, serving over 2 million end customers. Our solutions include daily banking operations, mobile and online banking, payments, investment, risk management, compliance, and open banking. As we prepare for new ventures, we are seeking ambitious individuals to join us on this journey. [Netcompany Banking Services](https://netcompany.com/netcompany-banking-services/) As a Senior DataOps Engineer you will : * Drive the automation of data management processes within a modern CI/CD environment. * Design and implement scalable data models and orchestrate ETL/ELT pipelines. * Manage and optimize data flows and data storage solutions to ensure performance and reliability. * Collaborate with data engineers, analysts, and business stakeholders to ensure data quality and consistency. * Troubleshoot complex data and system-related issues. * Ensure high standards of data quality, completeness, and integrity. * Create and maintain documentation for data processes, architectures, and operational procedures. ## Qualifications Requirements: * Experience working in the data warehousing field. * Strong proficiency in SQL. * Knowledge of databases, data processing concepts, and general data engineering principles. * Experience with SAS or Teradata tools is an advantage * Experience with at least one ETL/ELT tool (preferably SAS DI Studio). * Familiarity with tools such as Snowflake, dbt, Git, Erwin, or Power BI is an advantage. * Strong analytical and problem‑solving skills. * Good communication skills and ability to work effectively in a team environment. * Proficiency in the English language is required. * A Bachelor's or Master’s degree in a relevant IT specialization is required. Additional Responsibilities: * Support the development and implement
Applying for this Senior DataOps Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Netcompany?
Real rants from real employees. Read before you apply.