Product Data Analyst

We are looking for a Mobile Software Engineer to join our Engineering Team. Together with your team you will be crafting code that brings to life game features, items and levels in our games which are enjoyed by a community of 40 million active users each month. This scale comes along with very interesting engineering challenges which we are solving together, using a technology-agnostic approach. Alongside with our game we are growing as software engineers and as a team.

Here’s what you'll do

• Build an amazing experience for the millions of users who play every day
• Design, implement, test and maintain our casual gaming products
• Write clean, sustainable code and participate in peer code-reviews
• You will have ownership of a primary work stream, which you will own end-to-end, but work in close collaboration with your fellow mobile engineers
• Brainstorm new ideas together with your team to continually iterate and improve user experience of our games

Desired skills and experiences

• University degree in Computer Science or any equivalent department
• Internship experience in the gaming industry is an advantage
• Having game projects in Unity
• There’s no need to have prior game development experience. If you are a good engineer and value a holistic and technology-agnostic approach to software engineering, we’d like to hear from you

Areas in which you'll continue to grow

• Developing, releasing and maintaining high quality code
• Strong engineering skills and programming fundamentals
• Good command of various programming languages (such as C#, Java) and experience on best practices and idioms of these languages
• Software architecture design, OOP and design patterns principles on various scales

Working at Peak

• Fast-paced environment with a tight-knit and collaborative culture
• Never-ending learning and development opportunities
• Relevant conferences abroad to stay up to date with the latest industry trends.
• Team events and trips
• We support your personal and professional development with challenging projects and regular feedback
• Full health benefits

About Us

SnA is a business analytics consultancy with its resources actively engaged in client deliverables. SnA helps blue-chip clients in Banking, Insurance, Telco, Retail, and Energy understand their transaction-level history & conduct predictive analysis. SnA team combines skillsets in three key areas: business strategy, applied statistics, and database techniques. In the past fifteen years, SnA has completed over 300+ advanced analytics engagements with high-profile clients in the EMEA region.

This position requires a combination of technical skills and research, communication, and presentation skills.

We seek highly motivated individuals with a strong record of professional/academic/personal achievement and place significant importance on personal qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive, and self-confidence.

Desired Skills and Experience

Bachelor’s degree in a technical program (e.g., Engineering, Computer Science, MIS) from a reputable university

Relevant experience in data engineering, analytics, or AI-related projects

Strong knowledge of Python for data engineering, AI/ML development, and SQL

Familiarity with machine learning fundamentals (supervised/unsupervised learning, feature engineering, model evaluation)

Basic understanding of AI/ML pipelines, including data preparation, training, inference, and monitoring

Assertive, fast learner, highly organized, and curious about emerging AI and data technologies

Preferred Qualifications

Knowledge of modern, cloud-based data and AI pipeline best practices

Experience with large-scale data warehousing, data lake/lakehouse architectures, and data modeling

Exposure to ML frameworks and libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost)

Familiarity with MLOps concepts such as experiment tracking, model versioning, and CI/CD for ML

Experience with orchestration frameworks such as Apache Airflow or Argo Workflow

Experience with one or more cloud environments (AWS / Azure / GCP), including managed AI services

Experience with LLM or Generative AI concepts (prompt engineering, embeddings, vector databases, RAG architectures)

Responsibilities

Work closely with clients and internal consultants on data, analytics, and AI projects

Design and build scalable data and AI pipelines across Cloud and On-Prem environments

Support the development and deployment of AI/ML models by ensuring high-quality, well-governed data inputs

Assist in the implementation of MLOps practices, including model deployment, monitoring, and performance tracking

Research emerging AI, Generative AI, and data engineering technologies to continuously improve existing platforms and solutions

Benefits

A culture where participation is encouraged and collaboration is a real pleasure

Work in a creative environment and a steep learning curve

Modern workplace in the heart of Istanbul

Direct cooperation with major brands from all conceivable industries

Home office arrangements

Birthday leave

Private health insurance & Sodexo to cover food expenses

CEPRES
is the leading and fastest growing digital investment platform for private capital markets, an institutional asset class which became very relevant in global investment portfolios of sovereign wealth fund, insurances, pension plans and others. This global institutional client base benefit from our award-winning investment solutions for their investment activities while we connect via the CEPRES platform thousands of professionals to the largest private investment network worldwide.

CEPRES
GmbH / Corp is headquartered in Munich and New York, with additional offices in Denver, Chicago, London, Heidelberg, Singapore and several locations in middle east. Our team is incredibly diverse with over 20 nationalities globally. We value smart and innovative people who also work effectively in a team environment and who are global players.

Key Responsibilities:

• Support ingestion and basic cleansing of structured data sets from internal and external sources.
• Assist with data entry, validation checks, and quality reviews under analyst supervision.
• Help document data flows, processing steps, and system configurations.
• Run predefined queries and scripts to extract data as instructed.
• Participate in requirements-gathering sessions and take meeting notes.
• Flag anomalies or inconsistencies in data to senior team members.

Required Qualifications

• Pursuing or recently completed a degree in Computer Science, Information Systems, Business Informatics, Mathematics, Business Administration, Economy, Finance or a related field.
• Foundational understanding of relational databases (e.g., what a table, row, column, and primary key are).
• Interest in Corporate Finance, especially the Private Equity industry
  (Financial Statements, Private Market Transactions, etc.)
• Basic familiarity with SQL
  — ability to write simple SELECT statements.
• Exposure to at least one software environment (e.g.,
  Excel, Python
  basics, or any scripting tool).
• Ability to create and use agents/ skills on
  Claude, Gemini, CoPilot etc.
• Ability to follow written technical specifications and process documentation.
• Willingness to learn and ask questions in a structured work environment and “can do” attitude.

Nice to Have

• Introductory knowledge of data quality or data governance concepts.
• Familiarity with version control basics (e.g., Git).
• Prior coursework or project work involving data pipelines or ETL concepts.

What You Will Gain

• Hands-on exposure to real financial data processing workflows.
• Mentoring from experienced data analysts and engineers.
• Structured onboarding and a clear learning path.
• Potential for conversion to a full-time Analyst role based on performance.

At CEPRES, we're committed to creating an inclusive environment for all. We celebrate diversity and encourage applicants from all backgrounds, experiences, and perspectives to apply.

For the site in
Esenyurt/Istanbul
we are looking for you as
System Engineer - Application (m/f/d)
These Challenges Await You

• You complete the product release process from Prototype to Series with Customer R&D.
• You provide technical information and advice to the sales department about product options according to customers’ Book of Demands and needs and advise to Customer R&D about capabilities, characteristics, and options of products.
• You fulfill climatic hall and field tests of products on vehicles.
• You are responsible for the project process (SPO, CDP) of technical issues for changes at customer side and on product.
• You organize and conduct trainings for OEM production and R&D.

You Inspire Us With That

• You are a graduate of Bachelor degree in Mechanical/Electronics/ Mechatronics Engineering, have min 2 year experience with usage of hand tools and eager to gain hands-on experience in the field.
• You have a good knowledge about multiple disciplines (such as HVAC, mechanics, electric-electronics), a strong interest in electric powered vehicles [low voltage and high voltage (DC)] and are able to read mechanical and electrical drawings.
• You are a self-motivated person and you have a solution oriented mindset.
• Our environment is strongly international oriented, so you have a fluent level of English.
• You are willing to travel domestically and abroad.

In Addition

• Experience in SAP and good command of German as a second language are pluses.