Senior Data Engineer

CEPRES<\/b> is headquartered in Munich, with staff in New York, Denver, Chicago, London, Heidelberg, and Singapore. Our team is incredibly diverse with over 20 nationalities in 6 different locations globally.
<\/p>

As a Senior Data Engineer<\/b> at CEPRES, you will support the Principal Data Engineer in the development and maintenance of data pipelines and infrastructure. You will contribute to building scalable solutions and manage daily operational data tasks to ensure the integrity and accessibility of data across the organization. Your role also demands active collaboration with the software engineering teams to implement effectively and integrate the data layer with other platform components.
<\/p>

• Design, develop, and optimize robust, scalable data pipelines and architectures using Databricks, Snowflake, and SQL.
  <\/span><\/li>
• Assist in designing and implementing data systems and pipelines, aligning closely with Data Engineering requirements.
  <\/span><\/li>
• Demonstrate 2–3 years of experience leading small data engineering teams, coordinating workloads, and aligning technical execution with product priorities.
  <\/span><\/li>
• Collaborate extensively with software engineering teams, and the Product team to ensure that data solutions meet application needs.
  <\/span><\/li>
• Maintain and optimize existing data structures, ensuring integration with software applications.
  <\/span><\/li>
• <\/span><\/span><\/span><\/span>Document data processes and adhere to data governance standards while facilitating data usage by software teams.
  <\/span><\/li>
• Mentor other data engineers at CEPRES.
  <\/span><\/li>
• Along with the Product team, help coordinate the backlog of data engineering tasks.
  <\/span><\/li>
• Ensure data engineering best practices implementation across data engineering projects.
  <\/span><\/li>
• At times, lead technical discussions, provide architectural inputs if required.
  <\/span>
  <\/li> <\/ul> <\/div><\/span>
  

  Requirements<\/h3>

  • 5+ years of experience in Data Engineering.
    <\/li>
  • Proven experience (5+ years) in Databricks.
    <\/li>
  • 3\-5 years of experience with Snowflake.
    <\/li>
  • 2–3 years of experience leading teams.<\/span>
    <\/li>
  • Strong knowledge of SQL (including performance tuning, query optimization).
    <\/li>
  • Solid hands\-on experience with AWS Services (2 years).
    <\/li>
  • Experience or strong knowledge of AWS\/ Azure DevOps
    <\/li>
  • Familiar with data visualization tools(in Power BI)
    <\/li>
  • Proven ability to work collaboratively with software engineering teams.
    <\/li>
  • Strong problem\-solving skills and attention to detail.
    <\/li>
  • Bachelor’s degree in a related technical field.
    <\/li>
  • (Optional) Experience with Docker, Jenkins, and NoSQL databases.
    <\/li>
  • Strong analytical and problem\-solving skills with attention to detail.
    <\/li>
  • Excellent communication and collaboration skills.
    <\/li> <\/ul>

    Our tech stack: <\/b>
    <\/p>

    • Databricks
      <\/li>
    • Snowflake
      <\/li>
    • SQL Server
      <\/li>
    • AWS (Redshift, S3, Glue, Lambda)
      <\/li>
    • Azure DevOps
      <\/li>
    • Azure Repo
      <\/li>
    • Power BI
      <\/li>
    • Docker
      <\/li>
    • Jenkins
      <\/li>
    • Octopod
      <\/li> <\/ul> <\/div>
      
      <\/div><\/span>
      

      Benefits<\/h3>

      • Career Path in Private Equity<\/b> Step into one of the most in\-demand and exciting industries in finance today. With us, you'll experience unparalleled opportunities for career growth and promotions, receive regular feedback, and benefit from mentorship provided by an international team of passionate experts. Be part of a unique growth story and take on an exciting, challenging role in a dynamic global environment.
        <\/li>
      • Culture That Drives Success <\/b>We are powered by core values that foster an entrepreneurial spirit, drive results, and empower ownership. At our company, collaboration and mutual support is at the heart of everything we do. Transparency in company goals ensures you’re always part of the bigger picture.
        <\/li>
      • Commitment to Our People<\/b> We care deeply about our team, offering outstanding benefits and opportunities to thrive in a diverse, inclusive, and international workplace.
        <\/li>
      • Compensation<\/b> of attractive package that reflects your skills, contributions, and growth potential.
        <\/li> <\/ul>

        At CEPRES, we're committed to creating an inclusive environment for all. We celebrate diversity and encourage applicants from all backgrounds, experiences, and perspectives to apply.
        <\/p>

        Available Locations for this position
        <\/p>

        Denver, Colorado
        <\/p> <\/div><\/span>
        <\/body> <\/html>"}}],"isMobile":false,"iframe":"true","jobType":"Full time","applyName":"Apply Now","zsoid":"708724840","FontFamily":"Verdana, Geneva, sans\-serif","jobOtherDetails":[{"fieldLabel":"Industry","uitype":2,"value":"Financial Services"},{"fieldLabel":"Work Experience","uitype":2,"value":"5+ years"},{"fieldLabel":"City","uitype":1,"value":"Denver"},{"fieldLabel":"State\/Province","uitype":1,"value":"Colorado"},{"fieldLabel":"Zip\/Postal Code","uitype":1,"value":"80201"}],"headerName":"Senior Data Engineer","widgetId":"562532000000072311","awliIntegId":"urn:li:organization:1370435","isJobBoard":"false","userId":"562532000000284007","attachArr":[],"awliApiKey":"86yrfc8xi9a409","customTemplate":"3","awliHashKey":"91b2560ed2b16cfe289c39b1c570bdab831765ed6053c43d134abbd4c3d4127942c71a3500a48fa652cfbbccbaf97d6bfa47b59de2850859fa87fc1199e2b61b","isCandidateLoginEnabled":false,"jobId":"562532000013304001","FontSize":"15","location":"Denver","embedsource":"CareerSite","logoId":"okdpeb67d78d37b094ddbb67562eb06db81c2"}