Senior Data Engineer

About this Position

This position offers the opportunity to contribute to application engineering through laboratory testing, analytical methods, and technical support. You will collaborate with customers, Application Engineering teams, Key Account Managers, and project teams to support technical requests and projects, develop and optimize testing methods, and contribute to continuous improvement in laboratory processes and product performance.

What you´ll do

• Standardize and develop new test methods using a broad range of analytical techniques, including both destructive and non-destructive testing
• Leverage customer feedback to drive continuous optimization in customer service and laboratory testing processes
• Track, manage, and document test reports within the laboratory systems.
• Perform peer reviews of test data and result entries to ensure data accuracy and quality
• Participate in test standard validations and support training activities for internal stakeholders (e.g. laboratory personnel, marketing, sales)
• Prepare and deliver internal presentations related to testing methods, standards, and results
• Apply consultative skills when interacting with customers to build trust and transparency while managing technical incidents
• Participate in customer meetings and presentations, providing consultation on best practices relevant to the application field
• Communicate and collaborate closely with Application Engineering field roles, Key Account Managers (KAMs), project teams, and customers
• Lead and coordinate internal and external technical requests and application-related projects
• Ensure laboratory and application equipment are properly calibrated and safety-checked in compliance with local regulations
• Collect quotations and procure the necessary chemicals and equipment for the laboratory.
• Monitor trends in analytical methods and play a key role in the laboratory's development.
• Support Root Cause Analysis (RCA) activities and ensure the completion of Corrective Action Plans related to customer complaints and overall product performance

What makes you a good fit

• Bachelor's degree in chemistry or chemical engineering
• 2-4 years of related experience, preferably laboratory experience
• Ability to work independently, communicate with laboratory members, and maintain organized records/reports
• Excellent oral and written communication skills in English with the ability to interact effectively with all levels of management
• Solution-oriented and ability to work as a team
• Advanced user of MS Office applications

Some perks of joining Henkel

• Diverse national and international growth opportunities
• Global wellbeing standards with health and preventive care programs
• Gender-neutral parental leave for a minimum of 8 weeks
• Employee Share Plan with voluntary investment and Henkel matching shares

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.

Overview:
Who We Are****Because health is personal. That's why Personify Health created the first and only personalized health platform—bringing health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place. We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes. Together, our team is on a mission to empower people to lead healthier lives.
Learn even more about the work that drives us at personifyhealth.com.
Responsibilities:
Ready To Build the Data Models and Semantic Layers That Turn Raw Healthcare Data Into Analytics Clients Actually Trust? Why This Role Matters
Reporting is only as reliable as the data beneath it. As a Senior Data Engineer on the EBI DataOps team, you own the transformation pipelines, dimensional models, and semantic layers that convert raw data into the gold tables and dashboards clients use to make decisions. You're also the person who raises the technical bar for the engineers around you — mentoring on data modeling, SQL, and best practices that scale. What You'll Actually Do

Build and maintain transformation pipelines: Develop and sustain SQL-based pipelines that convert raw and bronze-layer data into curated silver and gold tables using dbt or equivalent tooling.Design dimensional models and semantic layers: Architect and maintain data models — facts, dimensions, star and snowflake schemas — that support reporting requirements across Snowflake, MicroStrategy, and Power BI.Develop reports, dashboards, and AI agents: Build and maintain reports, dashboards, and AI agents in Snowflake, MicroStrategy, and Power BI, with a strong eye for how modeling decisions affect downstream performance and usability.Enforce metric consistency: Define and maintain shared metric definitions, calculations, and business logic across multiple BI tools and reporting layers to ensure consistent analytics outputs.Investigate and resolve pipeline issues: Triage incoming bugs and incidents, troubleshoot data and pipeline failures, and resolve issues collaboratively with accuracy and urgency.Document and onboard new data sets: Investigate unfamiliar data sources, document structure and transformation logic, and integrate them into the existing architecture.Monitor pipeline performance: Track production pipeline execution and performance, identifying and addressing degradation proactively.Implement data quality checks: Design and enforce quality controls that maintain consistency and accuracy across all transformation outputs.Mentor junior and mid-level engineers: Provide hands-on guidance on data modeling, SQL, and semantic layer best practices — elevating the team's technical capability over time.Contribute to sprint delivery: Participate in refinement, planning, and kick-off ceremonies — estimating stories, surfacing complexity, and defining implementation details.

Qualifications:

What You Bring to Our Team

Education & Experience* 6+ years of experience in data engineering and analytics

• Degree or certification in Computer Science, IT, or a related field

Technical Skills* Expert-level SQL including pivots, window functions, complex date calculations, and query optimization at scale in Snowflake

• Strong understanding of dimensional modeling and semantic layer design — facts, dimensions, star and snowflake schemas — and how they map to silver/gold layer architecture
• Hands-on experience building transformation pipelines with dbt or equivalent; ETL/ELT experience required
• Proficiency in building semantic models, reports, and dashboards in MicroStrategy and Power BI or comparable BI tools
• Experience with orchestration tools such as Airflow, dbt, or Azure Data Factory preferred
• Familiarity with source-to-target mapping and translating transformation logic from legacy systems into Snowflake
• Solid understanding of relational and non-relational data models and their analytics trade-offs
• Strong Excel skills for ad hoc analysis and validation
• Git proficiency required for version-controlled model and transformation development

Our Commitment: Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive—because diversity is core to who we are and critical to our work in health and wellbeing. Stay Safe: Personify Health will never ask for payment or sensitive personal information like social security numbers during hiring. All official communication comes from verified company email addresses and or our secure applicant tracking system. Suspicious requests? Report them to talent@personifyhealth.com. View all legitimate openings at personifyhealth.com/careers.

We are looking for a
“Senior Data Scientist / AI Engineer”
who will be able to work with an enthusiasm for implementing pioneering steps on the subject of development solutions to join our
Professional Services team.

We believe that highly competitive solutions can only be developed by motivated and enthusiastic teams. That’s why our team members have been selected among the top engineers and specialists in the market. We are experts in developing solutions for financial organizations. If you want to be part of this dynamic team, come & join us and share our goal that is to take the technology to the next level with creative, fast, efficient, and secure solutions.

Here are the details of our job posting:

What makes you a good fit:

• Minimum 5 years of technical leadership experience, mentoring team members and defining AI project architecture and direction,
• Ability to act as a bridge between business and technology, transforming complex business problems into AI and data analytics challenges, and communicating solutions, applications, models, and insights clearly to non-technical teams and sponsors,
• Proven track record of end-to-end ownership, having successfully led at least 3 AI projects from ideation to production, with hands-on involvement across all stages of the AI Lifecycle,
• Advanced expertise in analyzing both structured and unstructured data, conducting exploratory data analysis (EDA), and building blended, relational AI-ready data pools,
• Strong foundation in machine learning and deep learning algorithms, with academic background and practical experience in model training and experiment design,
• Hands-on experience with Generative AI (GenAI) and large models (LLM, VLM), including application development, model training, and fine-tuning,
• Advanced proficiency in Python programming, with strong knowledge of SQL, PL/SQL, and Scala for data processing, transformation, and architecture. Experience in deployment and serving AI models,
• Preferably holds a Master’s degree in Artificial Intelligence, Data Analytics, or a related field, or a Bachelor’s degree in a relevant discipline.

What you’ll experience working at Softtech:

• Provide technical leadership and mentorship to team members, guiding AI project architecture and strategic direction,
• Collaborate closely with business units to translate complex business challenges into AI-driven solutions, and communicate outcomes effectively to non-technical stakeholders,
• Take full ownership of AI projects, leading them through the entire lifecycle from concept to production deployment,
• Conduct advanced analysis on structured and unstructured data, developing innovative approaches to create AI-ready blended data pools,
• Design, train, and optimize machine learning and deep learning models, applying rigorous experiment design principles,
• Stay current with developments in Generative AI and large-scale models, applying them to real-world use cases and leading fine-tuning initiatives,
• Drive advanced development processes with Python, SQL, PL/SQL, and Scala, ensuring robust data pipelines and scalable AI architectures,
• Contribute to academic and professional growth by leveraging advanced education in AI or data analytics, and continuously integrating new research into practical applications.

What we offer you:

• Private medical insurance and group life insurance,
• Company contributions to individual retirement or cumulative life insurance 3 months after working with us,
• Employee and Employer Contribution Plan for individual retirement support (Optional),
• Monthly meal payment,
• Flexible hybrid working support,
• Transportation fee or shuttle option according to your preference,
• Covered travel and accommodation expenses if necessary,
• Employee discounts - including a huge number of retailers via İş Grubu Ailem,
• Continuous learning and development opportunities,
• Health and well-being seminars and initiatives via Softtech Academy,
• Employee support program through a corporate consulting firm,
• Study leave and support for studying for a qualification or other accredited development relevant to your role,
• Attendance at technical congresses and conferences,
• Celebrate your birthday with a day off.

What else you need to know:

• Hybrid working in this position.

About us

As one of Turkey's leading technology companies, we have been operating at a total of 5 different locations in Turkey and the USA since 2006.

With the strength of our experience in the banking and finance industry and experienced human resources, we are developing customer-oriented solutions for our business partners operating in diverse areas.

Our mission is to transform all our customers including mainly İş Bankası, into digital companies by using our efficient and high-energy ecosystem.

We recognize that our people are our strength and the diverse talents. We are an equal opportunity employer and welcome applications from any individuals without any restrictions at our company.

Contact us:

If you need more information please don't hesitate to contact us.

https://softtech.com.tr

https://m.youtube.com/@Softtechas

https://anlatsin.com/softtech

https://instagram.com/softtech?igshid\=YmMyMTA2M2Y\=

"You can reach the clarification text regarding the processing of your personal data within the scope of the Personal Data Protection Law via the link below."

https://softtech.com.tr/kvkk\-aydinlatma\-metni/

YEO’nun enerji dönüşümündeki öncülüğü ve mühendislik gücüyle kurulan REAP Battery, Net Sıfır hedeflerine katkı sunmak amacıyla yüksek teknolojiye sahip batarya ürünleri ve enerji depolama çözümleri üretmektedir. Tam sistem tedarikçisi olarak özel Batarya Enerji Depolama Sistemleri (BESS) alanında tasarım ve mühendislik yetkinliklerine sahip olan REAP Battery, endüstriyel çözümler sunmaktadır.

Bu kapsamda, enerji sektöründe faaliyet gösteren ve batarya üretimi alanında uzmanlaşmış firmamızda, üretim süreçlerinde görev alacak "Üretim Personeli" arıyoruz.

GENEL NİTELİKLER

• Meslek lisesi veya meslek yüksekokullarının Elektrik, Elektronik, Mekanik, Mekatronik vb. bölümlerinden mezun
• Üretim alanında çalışmaya istekli ve vardiyalı çalışma düzenine uyum sağlayabilecek
• Temel elektrik bilgisine sahip, multimetre ile ölçüm yapabilen
• Kumpas ve el aletlerini kullanabilen, mekanik montaj süreçlerine hâkim
• Forklift kullanımı konusunda deneyimli olan veya forklift ehliyeti bulunan ya da ehliyet alma konusunda istekli olan
• ERP ve MES sistemleriyle çalışmaya yatkınlık
• Takım çalışmasına yatkın, dikkatli, sorumluluk sahibi olmak
• Tercihen argon veya lazer kaynağı konusunda bilgi sahibi olmak ve/veya deneyim sahibi olmak
• Tercihen batarya hücreleri (özellikle lityum-iyon) hakkında bilgi sahibi olmak

İŞ TANIMI

• Üretim planına uygun olarak çalışmak ve planlama departmanından gelen talepleri zamanında karşılamak
• Sorumlu olduğu makine ve ekipmanları üretime hazır hale getirmek
• Kullanılan yarı mamul ve ekipmanları tanımlanan stok alanlarına düzenli bir şekilde yerleştirmek
• ERP ve MES sistemlerini kullanarak üretim süreçlerini kayıt altına almak
• Üretimi kalite standartlarına ve belirlenen toleranslara uygun şekilde gerçekleştirmek
• Arızalı üretim ekipmanlarını zamanında bildirerek iş sürekliliğini sağlamak
• İş sağlığı ve güvenliği kurallarına uygun şekilde çalışmak, kişisel koruyucu ekipmanları eksiksiz kullanmak
• 5S uygulamalarına uygun düzen ve temizlik sağlamak
• Sürekli iyileştirme, verimlilik artırma ve maliyet düşürmeye yönelik önerilerde bulunmak
• Yöneticileri tarafından verilen diğer görev ve sorumlulukları yerine getirmek