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Senior Data Engineer/Architect

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years' experience in data engineering, Degree in Computer Science or related field, Startup experience is a plus, Certification in cloud platforms or data engineering.

Key responsabilities:

  • Build and maintain scalable data warehouse/lakehouse
  • Recommend database tools, design ETL/ELT processes
  • Collaborate for data integrity, performance, insights
  • Optimize data models and oversee governance/security
  • Mentor junior engineers and provide technical leadership
C-MORE | Beyond the Obvious logo
C-MORE | Beyond the Obvious Scaleup https://cmore-sustainability.com/
11 - 50 Employees
See more C-MORE | Beyond the Obvious offers

Job description

Logo Jobgether

Your missions

| Why C-MORE? | 

C-MORE is a technology company, specializing in Software as a Service for sustainability management (ESG). C-MORE is committed to the idea that the success and future of companies depend on the successful integration of sustainability data, indicators, and initiatives (ESG) in their business models. Therefore, C-MORE develops market-leading sustainability management software as plug-and-play SaaS for SMEs, financial institutions needing to assess and improve their portfolios' ESG maturity, and enterprises wanting and needing to assess and improve the ESG maturity of the complex value chains they are part of. C-MORE's purpose is to collaborate, co-create and cooperate with its clients in the transition to this new approach.

At C-MORE we nurture a Culture of Collaboration, we all are Mission-driven, we promote an environment of Openness, we act with Responsibility, and aim to achieve delivery Excellence... always beyond the obvious.

| Who and why are we hiring? |

C-MORE is an innovative company poised to revolutionize sustainability industry. We are on a mission to leverage data-driven insights to propel our growth and create groundbreaking solutions.

With a dynamic team, we are scaling rapidly and need a seasoned Data Engineer/Architect to build and maintain a cutting-edge data warehouse/lakehouse from the ground up.

We want ESG MATURITY to be the world's most used platform for ESG management, and to be best information hub for ESG data, KPI's and insights.

We are seeking a Senior Data Engineer/Architect to spearhead the development of our data infrastructure. The ideal candidate will have extensive experience in creating scalable data warehouses/lakehouses and will be responsible for recommending and implementing the best database management tools. You will play a critical role in our data strategy, ensuring scalability, reliability and performance as our data grows significantly to larger volumes. You'll work closely with other Data Science professionals and deliver solutions for a variety of different stakeholders.

Location: Remote

Key Responsibilities:

  • Architect, develop, and maintain a robust and scalable data warehouse/lakehouse from scratch;
  • Evaluate and recommend appropriate database management tools and technologies tailored to our needs;
  • Design and implement ETL/ELT processes to ensure efficient data ingestion, transformation, and storage;
  • Collaborate with cross-functional teams to define data requirements and ensure data quality and integrity;
  • Optimize data models for performance and scalability to handle exponential data growth;
  • Implement best practices for data governance, security, and compliance;
  • Develop and maintain business intelligence solutions, to deliver actionable business insights;
  • Create and maintain comprehensive documentation of the data architecture, processes and procedures;
  • Mentor and guide junior data engineers and provide technical leadership.


Technical Skills and Experience:

  • Proven experience as a Data Engineer/Architect, with a strong track record in designing and building data warehouses/lakehouses;
  • Data Transformation: Proficiency in dbt (data build tool) for data transformations and modeling;
  • SQL and Relational Databases: Extensive experience with SQL and relational databases, such as PostgreSQL, MySQL, MS SQL Server, including writing complex queries, optimizing performance, and managing schemas;
  • Cloud-based Data Warehousing: Expertise in cloud-based data warehousing solutions such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse. Ability to design scalable and cost-efficient architectures in the cloud;
  • Programming Languages: Strong programming skills in Python and/or Java, including experience with libraries and frameworks relevant to data engineering (e.g., Pandas, PySpark);
  • ETL/ELT Tools: Experience with ETL/ELT tools such as Apache Airflow, Talend, or similar, including designing workflows, scheduling jobs, and monitoring data pipelines;
  • Big Data Technologies: Familiarity with big data technologies like Apache Spark, Hadoop, and Kafka, including experience with data processing, real-time streaming, and batch processing;
  • Data Modeling: Knowledge of data modeling techniques and best practices, including star schema, snowflake schema, and data vault;
  • Data Governance and Security: Understanding of data governance frameworks, security practices, and compliance requirements, including data encryption, masking, and role-based access control;
  • Version Control Systems: Familiarity with version control systems such as Git, including branching strategies, pull requests, and code reviews;
  • Business Intelligence: Experience in developing and maintaining business intelligence solutions, with the aim of creating a strong reporting framework to deliver business insights;
  • CI/CD: Experience with continuous integration and continuous deployment (CI/CD) pipelines for data engineering workflows, using tools like Jenkins, GitLab CI, or CircleCI;
  • Stay updated with the latest technologies and trends in data engineering, and recommend new tools and techniques to improve our data infrastructure and processes;
  • Implement data governance, data quality, and data security best practices to ensure data accuracy, consistency, and privacy compliance, contributing for the C-MORE’s ISMS – Information Security Management System and other internal standards and governance;
  • Proactively support in solving internal or external challenges within your area of expertise, fostering a culture of collaboration and openness.


Preferred Qualifications:

  • 5+ years’ experience in data engineering, with a focus on data warehouse and lakehouse architecture;
  • Degree in Computer Science, Information Technology, or a related field;
  • Experience in a startup environment or with rapidly scaling companies is a huge plus;
  • Knowledge of additional data transformation tools and frameworks;
  • Experience with machine learning pipelines and integration with data warehouses;
  • Familiarity with data visualization and BI tools (e.g. Power BI);
  • Certifications in cloud platforms (AWS, GCP, Azure) or data engineering.


Soft Skills:

  • Strong problem-solving skills and the ability to think critically;
  • Excellent communication and collaboration skills;
  • Detail-oriented with a commitment to data quality and accuracy;
  • Enjoy startup's fast-paced environment and demand for excellence;
  • Fluent (speaking and writing) English is a must. Portuguese or Spanish are highly appreciated - crucial for Openness and Collaboration in our diverse, global team;
  • Analytical mindset with the ability to provide the best fit solution to our clients and provide actionable insights - essential for making Mission-Driven, strategic decisions;
  • Excellent interpersonal and communication skills, with the ability to build and maintain relationships at all levels of the organization – showing a Collaboration and Openness mindset;
  • Autonomous, ownership, multitasking, open to give and receive feedback, attention to detail, comfort with ambiguity and constant change, problem solver and a continuous improvement mindset - this embodies all our values, with a particular emphasis on Responsibility and Excellence;
  • Digital proficiency - aligns with Openness to new technologies and tools, as well as our commitment to Excellence in the digital age.


…always beyond the obvious!

WHAT ELSE DO WE OFFER BEYOND BASE PAY:

  • Fully remote - hybrid model is not expected
  • Paid 24 days/year of absence for vacations
  • Plus free birthday day off
  • Outside of Portugal, 9 bank holidays/year of your choosing
  • Hardware, in accordance with internal policy


At C-MORE, we don’t want to only accept differences. We celebrate diversity and see beyond the obvious. C-MORE is proud to be an equal opportunity company, that does not discriminate against race, color, national origin, ancestry, marital status, religion, sex, sexual orientation, age, citizenship, disability, or gender identity.

At C-MORE, we recognize that our strength and success lies in the collective abilities and diversity of our team. We are committed to creating an environment where everyone can bring their full selves to work, grow professionally, and make a meaningful impact. If you believe you can contribute to our mission and embody our values, we encourage you to apply.

We thank all applicants for their interest in C-MORE.

Come join us and let’s build a great company culture together!

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Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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