Senior Data Engineer

Posted Yesterday
Hiring Remotely in United States
Remote or Hybrid
Senior level
Information Technology • Consulting
The Role
Design, build, and optimize enterprise ETL/ELT pipelines, cloud data lakes, lakehouse solutions, data models, and semantic layers across AWS and Azure. Ensure data quality, security, performance, reliability, and governance while supporting analytics, reporting, and AI initiatives. Collaborate with product, engineering, IT, and business stakeholders to translate requirements into scalable data solutions, monitor pipeline health, troubleshoot issues, and improve data architecture and practices.
Summary Generated by Built In

Ciklum is looking for a Senior Data Engineer to join our team full-time in the US .

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Design, build, and optimize enterprise data pipelines and lakehouse solutions aligned to Client's data architecture, governance standards, and cloud-first strategy. Partner with cross-functional teams to deliver secure, scalable, and high-quality data solutions that enable analytics, reporting, and AI-driven capabilities.

Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines across enterprise systems including ERP, CRM, and operational platforms 
  • Build and support ICC’s cloud-based data lakehouse architecture (aligned to medallion layers and governance standards) 
  • Develop and maintain data models, semantic layers, and curated datasets for analytics and business intelligence 
  • Translate business requirements into technical data solutions in collaboration with product, engineering, and business stakeholders 
  • Ensure data quality, integrity, and security in alignment with ICC data governance and compliance standards 
  • Optimize SQL queries, data pipelines, and storage performance across AWS and Azure platforms 
  • Support data integration initiatives including Data Lake, D365 ERP, and CRM/AMS platforms 
  • Monitor pipeline health, troubleshoot issues, and ensure high availability and reliability of data systems 
  • Contribute to continuous improvement of data architecture, standards, and best practices 
  • Support AI and analytics initiatives by enabling high-quality, accessible data for downstream consumption 
  • Ability to establish positive working relationships with multiple disciplines of Information technology department & staff levels
  • Demonstrated ability to collaborate and receive feedback regarding ongoing projects
  • Demonstrated ability to respond to business issues with the appropriate sense of urgency
  • Sense of when to escalate a problem or ask for assistance

Requirements:

  • Bachelor’s degree in Computer Science, Information Systems, or related field 
  • 4+ years of experience in data engineering or data platform development 
  • Strong experience designing and building ETL/ELT pipelines in cloud environments 
  • Hands-on experience with AWS (S3, Redshift, Glue, DMS) and Azure (Data Factory, SSIS) 
  • Strong proficiency in SQL and relational database design 
  • Solid understanding of data warehousing, data lakes, and lakehouse architecture 
  • Experience with structured, semi-structured, and unstructured data processing 
  • Experience with data modeling, data quality, and performance optimization 
  • Strong analytical, problem-solving, and communication skills

Desirable:

  • Experience with medallion/lakehouse architecture patterns
  • Experience working in multi-cloud environments (AWS and Azure)
  • Experience with Databricks, Spark, or Azure Fabric 
  • Experience with Power BI or enterprise reporting platforms 
  • Familiarity with AI/ML data enablement and tools (e.g., AWS Bedrock, RAG concepts) 
  • Experience with Git, Azure DevOps, and CI/CD practices 
  • Understanding of Agile methodologies and SDLC

What’s in it for you?

  • Strong community: Work alongside top professionals in a friendly, open-door environment
  • Growth focus: Take on large-scale projects with a global impact and expand your expertise
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
  • Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the US, Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.

Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

#LI-HD1

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • 4+ years of experience in data engineering or data platform development
  • Experience designing and building ETL/ELT pipelines in cloud environments
  • Hands-on experience with AWS, including S3, Redshift, Glue, and DMS
  • Hands-on experience with Azure, including Data Factory and SSIS
  • Strong proficiency in SQL and relational database design
  • Understanding of data warehousing, data lakes, and lakehouse architecture
  • Experience processing structured, semi-structured, and unstructured data
  • Experience with data modeling, data quality, and performance optimization
  • Strong analytical, problem-solving, and communication skills
  • Experience with medallion or lakehouse architecture patterns
  • Experience working in multi-cloud AWS and Azure environments
  • Experience with Databricks, Spark, or Azure Fabric
  • Experience with Power BI or enterprise reporting platforms
  • Familiarity with AI/ML data enablement tools, AWS Bedrock, or RAG concepts
  • Experience with Git, Azure DevOps, and CI/CD practices
  • Understanding of Agile methodologies and SDLC
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The Company
HQ: London
2,995 Employees
Year Founded: 2002

What We Do

Ciklum is a global Digital Solutions Company for Fortune 500 and fast-growing organisations alike around the world. The company is headquartered in London and has software development centres and branch offices in the United States, Spain, Switzerland, Denmark, Israel, Poland, Ukraine, Czech Republic, Slovakia, Romania, UAE and Pakistan. Ciklum builds tailored digital solutions that leverage emerging technologies for such clients as Just Eat, Flixbus, Metro Markets, EFG International, Zurich Insurance, Lottoland and others. For more information about us visit www.ciklum.com

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