Data Engineer Job at Helen Oy in Helsinki

Helen Oy is recruiting a Data Engineer for its operations in Helsinki, Finland. The official title is Data Engineer. In professional English, the role is best understood as a data engineering position focused on building and maintaining data solutions and architecture. This distinction matters: the vacancy offers a structured environment to work on flexible district heating data products, but it should not be confused with a permanent appointment, as it is an approximately eight-month fixed-term parental-leave substitute.

The role spans data architecture development, data product creation on the Databricks platform, and the maintenance of data integrations. It is designed for a professional who wants to explore data engineering within the energy sector or strengthen knowledge and practical skills that are valuable in modern data environments. The vacancy states that experience with modern data platforms, primarily Databricks, is required, while a strong understanding of software development practices, including Git, CI/CD, test automation, and Infrastructure as Code, forms part of the stated profile.

Opportunity Details

Overview of the Vacancy

Location, Sector, and Role Context

This is a Helsinki-based data engineering vacancy in the energy services sector. The advertised working arrangement is a flexible hybrid work model at the Ruoholahti We Land office, and the employer states that the appointment is based on an approximately eight-month fixed-term parental-leave substitute contract. The start date is expected by October or November 2026. The published benefits include staff electricity, a charity day, remote work abroad, and a wellness benefit. These conditions come directly from the official vacancy and should be assessed in the context of the candidate's own circumstances and the applicable employment agreement.

The technical scope is deliberately focused on modern data ecosystems. After an induction period, the engineer works on developing data solutions and architecture for flexible district heating. The vacancy also describes building data products on the Databricks platform and developing data quality and data pipeline reliability monitoring. This combination gives the post a practical link between technical implementation, system reliability, data quality assurance, and supervised development of foundational data engineering practices within the energy sector.

Technical Learning and Professional Development

System Development, Integration, and Architecture Work

The position includes direct involvement in building, maintaining, and developing data integrations. The official description identifies strong SQL skills and experience with Python and Spark among the practical skills that are required in the workplace, alongside deeper understanding of data modeling, transformation, and large data processing. The wording should be read as professional development within the scope of the role, contributing to the organization's data capabilities.

The selected engineer can also participate in the continuous improvement of software development practices. Progress is demonstrated through the successful implementation of Git, CI/CD pipelines, test automation, and Infrastructure as Code (IaC). The vacancy states that good spoken and written Finnish and English are required for effective collaboration, but it does not describe the present appointment as a permanent role or guarantee later extension beyond the parental-leave substitute period.

About the Employer: Helen Oy

Organization and Relevant Services

Verified Employer Overview

Helen Oy is an energy company whose official website presents the provision of flexible district heating and the development of modern data solutions as connected areas of work. It describes a focus on sustainable energy practices, with a commitment to modernizing energy infrastructure, and it provides services for both residential and commercial customers. These institutional functions provide the wider corporate setting for the advertised data engineering role.

Within the vacancy itself, the data engineering function is associated with flexible district heating, data product development, data quality monitoring, and data pipeline reliability. The role is situated in that broad technical environment, while its day-to-day responsibilities remain those specifically stated for the Data Engineer position. The corporate context therefore helps explain the range of technical exposure without expanding the advertised duties beyond the official description.

Professional Setting and Role Context

Work Environment, Operations, and Facilities

The official Helen Oy operations involve managing large-scale energy data to optimize flexible district heating. Its themes include data architecture, platform engineering, data modeling, pipeline reliability, and software development practices. The vacancy also identifies the work location at the Ruoholahti We Land office in Helsinki. This context is relevant because the advertised role explicitly includes building data products, developing data integrations, and monitoring data pipeline reliability within a hybrid work model.

The vacancy describes a collaborative working environment in which technical proficiency, problem solving, and effective communication are important. It also states that data engineers belong to a technical team and can participate in the development of data quality practices. Candidates should treat these points as part of the employer's stated working and learning environment, while evaluating the formal appointment terms through the official application and recruitment process.

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Open Positions

Data Engineer

Professional English rendering: Data Engineer

Location: Helsinki, Uusimaa, Finland | Employment information: Approximately eight-month fixed-term parental-leave substitute; flexible hybrid model

The engineer supports data operations across architecture development, Databricks platform integration, pipeline monitoring, and data quality assurance. The role combines defined technical responsibilities with system development, software practice implementation, and continuous improvement. It is appropriate to present the post as a Data Engineer appointment focused on the energy sector rather than translate it into a generic IT role that may imply different technologies, autonomy, or industry focus.

Responsibilities

• Develop data solutions and architecture for flexible district heating within the energy services context.
• Build data products on the Databricks platform, ensuring robust performance and scalability.
• Build, maintain, and develop data integrations to support seamless data flow across systems.
• Develop data quality and data pipeline reliability monitoring to ensure accurate and timely data processing.

Qualifications

• Experience with modern data platforms, with a primary focus on the Databricks ecosystem.
• Experience in data modeling, data transformation, and large data processing methodologies.
• Good understanding of software development practices, including Git, CI/CD, test automation, and IaC.
• Good spoken and written Finnish and English language skills as explicitly stated in the vacancy.

Skills and Competencies

• Strong SQL skills required for effective data querying, manipulation, and analysis.
• Experience with Python and Spark for advanced data processing and analytics tasks.
• Proficiency in Git, CI/CD, test automation, and Infrastructure as Code (IaC) for reliable deployments.
• Ability to communicate complex technical concepts clearly in both Finnish and English within a team setting.

Benefits and Employment Information

• The advertised arrangement is an approximately eight-month fixed-term parental-leave substitute.
• The start date is expected to be by October or November 2026, as published by the employer.
• The position offers a flexible hybrid work model based at the Ruoholahti We Land office in Helsinki.
• Benefits include staff electricity, a charity day, the option for remote work abroad, and a wellness benefit.

Application Guidance

Prepare a Focused Application

CV, Evidence, Documents, and Interview Preparation

Prepare a concise English or Finnish application that clearly distinguishes verified technical credentials from projects that are still in progress. Because the vacancy uses specific technology requirements, present the exact status of your experience with Databricks, Python, and Spark truthfully and in a way that the recruitment team can verify. Do not describe generic IT experience as specialized data engineering unless the relevant skills have been practically applied.

The vacancy places clear emphasis on experience with modern data platforms, software development practices, data modeling, and large data processing. A useful motivation letter can therefore connect these themes to specific technical experiences without overstating the scope of past projects. Examples may include data pipeline development, CI/CD implementation, data quality monitoring, or architecture design, provided they accurately represent the candidate's own record.

A practical application can map evidence to the technologies and working methods named in the vacancy: Databricks, SQL, Python, Spark, data modeling, integration work, data-quality monitoring, Git, CI/CD, test automation and Infrastructure as Code. Each item should be supported by a concise project example rather than a keyword list alone. The vacancy asks for spoken and written Finnish and English, so applicants should represent both honestly. It also identifies an approximately eight-month fixed-term parental-leave substitute and a flexible hybrid model; no visa or relocation commitment is inferred.

• Use a chronological CV that makes technical education, relevant certifications, platform experience, and previous employment easy to identify.
• Explain why data engineering in the energy sector is a considered next step rather than relying on a generic interest in technology.
• Describe technical exposure precisely, including the platforms used, data volumes handled, and the limits of personal responsibility.
• Prepare evidence for the skills and experience requested in the official form, including the CV and motivation letter.
• Review examples that demonstrate problem-solving ability, collaboration, flexibility, and adherence to software development best practices.
• Use the employer's official portal only; do not send sensitive application documents to unofficial addresses or third-party websites.

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How to Apply

Submit Your Application Through the Verified Route

Official Helen Oy Digital Application Form

The vacancy instructs candidates to apply through its digital application form. The route below was opened from the official vacancy page and visually confirmed to retain the Data Engineer title and requisition number 805. The form displayed contact-information fields, privacy acceptance, and Save and Next controls. No information was entered during verification.