Data Engineer

MentorMate creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. With mature and established practices in enterprise web and mobile development, quality engineering, technical architecture, human-centered design, cloud, DevOps, data, and analytics, the company provides challenging careers in a friendly and global people-oriented environment. We value every team member and share our success through flexible working models, competitive pay and benefits, and advancement opportunities.  

As part of global technology company Tietoevry Create, MentorMate enables people to work on impactful, global projects for recognizable brands and grow their careers in a team of over 10,000 experts.    About the role 

As a Data Engineer, your primary goal will be to offer non-standard solutions and unlock the potential of our clients. Through expert-level data management and analysis, the DCoE team facilitates resource management, database migration to new engine types, data unification, and company mergers. SQL reports optimization, Business Intelligence reports, and troubleshooting of data flows are another significant part of our day-to-day responsibilities.       About the team 

The SQL, Python, Oracle, AWS, and Azure-certified members of our Data Center of Excellence (DCoE) team primarily work on enterprise-scale projects, including AI and ML solutions across various industries and applications. Involved in all stages of processing, migrating, and preparing data from/to public cloud providers, the team applies expert skills in data architecture, big data management, business intelligence, machine learning, artificial intelligence, data automation, and database optimization. 

Responsibilities

• Develop, construct, test, and maintain data pipelines for multiple analytics functions
• Align architecture with business requirements
• Analyze, re-architect, and re-platform data warehouses
• Data acquisition
• Identify ways to improve data reliability, efficiency, and quality
• Prepare data for predictive and prescriptive modeling as well as for classic BI analytics

Requirements

• 3+ years of experience in data engineering, software engineering, or other related roles
• 3+ years of experience with ETL, data modeling, and data architecture
• Strong experience in generating data pipelines from multiple data sources, in collaboration with diverse team members
• Experience in operating very large data warehouses or data lakes
• Understanding of software development best practices, including query optimization, version control, code reviews, and documentation
• Experience with building data pipelines and applications to stream and process large datasets at low latencies
• Ability and desire to learn new languages and technologies
• Attention to detail and strong documentation skills
• Fluent in English both written and verbal

A significant advantage would be experience with any of the following

• SQL/ Python
• ETL tools like Airflow, Talend, Matillion, Informatica, ODI, SSIS
• AWS/ Azure/ OCI
• Big Data technologies such as Hadoop/Databricks/Spark/EMR
• Oracle, MS SQL Server, MySQL, PostgreSQL, AWS Redshift, Azure Synapse, Snowflake, DynamoDB
• Certification of SQL, PL/SQL, T-SQL
• Design and implement batch and stream data processing pipelines

Why take this opportunity

• Professional Growth: Clear career path, meaningful projects, tech innovations
• Regular Salary Raises: Following the curve of your career path and performance
• Work Where You Want: Choose to work remotely, in-office, or a combination of the two
• Upskilling: Various trainings, knowledge sharing events, personal learning budget
• Incentive Programs: Rewards for referring employees, sharing knowledge, and more
• Additional Insurance: Attractive health and dental insurance packages
• Extra Days Off: The longer you work with us, the more paid leave you get
• Transport & Leisure: Partial coverage of transport costs, sports passes, takeaway food
• Save for the Future: Set a retirement plan or start an investment program
• Teambuilding: Enjoy team gatherings and communities of interest
• Giving to Others: Take part in various charity and volunteer activities
• Mental Wellness: Support with a counseling package if needed