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Introduction

Hakkoda, an IBM Company is a modern data consultancy that empowers data-driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and allow them to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Votre rôle et vos responsabilités

 What we are looking for:

We are in search of a skilled Consultant Data Engineer to join our expanding team of experts. This role will be pivotal in the design and development of Snowflake Data Cloud solutions, encompassing responsibilities such as constructing data ingestion pipelines, establishing sound data architecture, and implementing stringent data governance and security protocols.

Key Responsibilities

Data Pipeline & Engineering Execution

  • Develop and maintain scalable data pipelines and ingestion processes using SQL, Python, dbt, and cloud-native tools.
  • Implement ELT/ETL patterns across batch, incremental, and CDC pipelines.
  • Build data models using best practices in Dimensional modeling, Data Vault, or Lakehouse approaches.
  • Support the development of data transformations, data quality validations, and business logic implementations.

Platform & Cloud Engineering

  • Work with cloud platforms (Snowflake, Databricks, AWS, Azure, or GCP) to build high-performance, cost-efficient data solutions.
  • Implement warehouse/lakehouse structures, storage standards, schema management, and governance rules.
  • Assist with orchestration using Airflow, dbt Cloud, or similar tools. 

Client Delivery & Consulting Support

  • Collaborate with client stakeholders to clarify requirements and translate them into actionable engineering tasks.
  • Communicate progress, technical decisions, and blockers clearly and professionally.
  • Participate in client demos, stand-ups, and architecture discussions, representing Hakkoda’s engineering excellence.
  • Document technical solutions and contribute to handover materials.

Data Quality, Governance & Security

  • Implement data validation and monitoring logic to ensure accuracy and reliability.
  • Follow security best practices including RBAC, data masking, encryption, and compliance requirements.
  • Contribute to documentation, standards, and engineering templates.

Collaboration & Team Growth

  • Work closely with senior engineers and architects to design and refine solutions.
  • Participate in code reviews and adopt Hakkoda’s engineering standards.
  • Mentor junior engineers as needed and support internal knowledge-sharing sessions.
  • Contribute to internal accelerators, playbooks, and reusable assets.

Continuous Learning & Innovation

  • Stay current on cloud, data engineering, Snowflake, Databricks, and modern data stack technologies.
  • Explore new tools, patterns, and methodologies that improve engineering efficiency.
  • Bring new ideas to the team and participate in innovation initiatives at Hakkoda.
Formation requise
Licence
Expertise professionnelle et technique requise
  • 4+ years of experience in Data Engineering or similar roles.
  • Strong SQL skills and hands-on experience building data pipelines.
  • Proficiency with Python or a similar programming language.
  • Experience with at least one cloud data platform (Snowflake, Databricks, BigQuery, Redshift, or Synapse).
  • Familiarity with data modeling concepts (Dimensional, Data Vault, Lakehouse).
  • Hands-on experience with version control (GitHub, Bitbucket) and CICD workflows.
  • Experience working in agile, collaborative environments.
Expertise professionnelle et technique préférée

English C1

Experience in consulting projects

À propos de la Business Unit

IBM Consulting est l'activité de conseil et de services professionnels mondiaux d'IBM, avec des capacités de pointe dans la transformation des entreprises et des technologies. Avec une expertise approfondie dans de nombreux secteurs, nous offrons des services de stratégie, d'expérience, de technologie et d'exploitation à un grand nombre des entreprises les plus innovantes et les plus précieuses du monde. Nos collaborateurs se concentrent sur l'accélération des activités de nos clients grâce au pouvoir de la collaboration. Nous croyons au pouvoir de la technologie utilisée de manière responsable pour aider les gens, les partenaires et la planète.

VOTRE VIE CHEZ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

 

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

 

Are you ready to be an IBMer?

À propos d'IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

 

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. 

 

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Autres détails pertinents sur le poste

For additional information about location requirements, please discuss with the recruiter following submission of your application.