Data Engineer at Konecranes

Hyvinkää, Uusimaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

18 Mar, 26

Salary

0.0

Posted On

18 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Solutions, Database Design, SQL Programming, Python, Java, Data Pipelines, CI/CD, Problem-Solving, Analytical Skills, Data Quality, Data Governance, Agile Environment, Technical Documentation, Collaboration, Innovation

Industry

Machinery Manufacturing

Description

Company Description At Konecranes, we believe that great customer experience is built on the people behind the Konecranes name – people committed to providing our customers with lifting equipment and services that lift their businesses. Everything we do, we do with passion and drive. We believe diversity drives business success and is the foundation for our growth. We welcome different backgrounds and skills that enrich our community and we promote a place where we can ALL be ourselves. This is what makes Konecranes a unique place to work. Job Description At Konecranes, we’re on a mission to turn data into a strategic advantage. Our IT organization’s Data to Knowledge unit plays a key role in this transformation—advancing analytics and data science, data quality and governance to unlock smarter decisions across the business. We’re looking for a forward-thinking Data Engineer to help us push boundaries in data platform development, reporting, and analytics. In this role, you’ll be part of a team that accelerates Konecranes’ data-driven journey and makes real impact. This hybrid role is based at our headquarters in Hyvinkää, Finland. Your key responsibilities As a Data Engineer your primary responsibility is to maintain, troubleshoot and develop solutions in our data platform. You’ll take ownership of complex data exploration requirements by designing and implementing innovative solutions in a collaborative, agile environment. The solutions will range from technology prototypes/demos, reusable data sets, and optimized queries to fully automated data. You will design and build high performance throughput data ingestion and analytics data pipelines. You’ll document your work clearly and create technical designs and specifications. As part of the data engineering team, you will work closely with other data engineers as well as Platform team and other stakeholders to identify the issues in deployed processes, helping to fix problems and make reliable amendments to make the processes/code work efficiently. Qualifications What you should bring To succeed in this role, you have a university degree in Computer Science, Software Engineering or similar, and a solid track record of developing and deploying robust production grade ETL solutions. You are an expert in database design and SQL programming and strive to create innovative and breakthrough solutions. You have a passion to learn and work with various technologies. You are open to challenging even your own experience and starting fresh when the situation demands it. You have 7+ years of industry experience as a software engineer, in data and analytics development. Qualifications Proven ability in designing and developing production-level software Solid understanding of databases (SQL Server, Oracle) and SQL scripting skills Proficiency in Python and Java programming Experience with distributed compute and storage technologies (Databricks, Azure Datalake Storage) to design ETL pipelines Hands-on expertise with continuous integration and deployment tools (CI/CD) Strong communication skills, attention to detail for documenting and reviewing technical designs Excellent problem-solving and analytical skills Additional Information Why join us? Our mission is clear – we are in the midst of a transformative data revolution! Joining us now means you are not just joining a company, you're becoming a critical player in shaping the future of our data engineering. If routine work is your biggest dread, you're in the right place! The nature of our work ensures that no two days are the same. You'll engage in a diverse range of projects, each with its unique complexities and opportunities to make a substantial impact. We also offer: Global collaboration: Become part of a diverse, international network of professionals, collaborating to raise the bar in the industrial world. Career development: With opportunities to take on new challenges and roles, we're serious about your professional growth. Supportive environment: You'll join a team that's as supportive as it is experienced. Competitive rewards: We offer performance based incentives and a great benefits package. Work-life harmony: We value hybrid and flexible working opportunities, to allow for a great fit with your life situation. Want to learn more about Konecranes IT and what your future colleagues have to say? Visit our IT career pages on www.konecranes.com/careers/explore-our-roles/it-careers Interested? Please submit your application in English via the Apply link. Applications are reviewed continuously, so we recommend applying early. The position will be filled as soon as we find the best match. For further information please contact Marion Soon, Global Talent Acquisition Specialist, marion.soon[at]konecranes.com Konecranes moves what matters. We are a global leader in material handling solutions, serving a broad range of customers across multiple industries. We consistently set the industry benchmark, from everyday improvements to the breakthroughs at moments that matter most, because we know we can always find a safer, more productive and sustainable way. That's why, with 16 000+ professionals in over 50 countries, we are trusted every day to lift, handle and move what the world needs. Konecranes is committed to ensuring that all employees and job applicants are treated fairly in an environment which is free from any form of discrimination. Job Category: IT Employee Group: Employee Employment Type: Undefined term Full-time/part-time position: Full-time Workplace Type: Hybrid

Responsibilities

As a Data Engineer, you will maintain, troubleshoot, and develop solutions in the data platform, taking ownership of complex data exploration requirements. You will design and build high-performance data ingestion and analytics pipelines while collaborating with other teams to ensure efficient processes.