Data Engineer

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.

Sipay is an innovative financial technology company founded in 2019, designing products and services tailored to the financial needs of both businesses and individuals.

As Turkey’s most valuable fintech company, Sipay offers a financial marketplace that enables businesses to monitor and manage their entire financial landscape from a single platform, while providing unbiased access to all available financial options. This empowers companies facing the challenge of managing the present and preparing for the future to make the most informed decisions. Offering a wide range of up-to-date, fast, easy, secure, and innovative payment solutions, Sipay also leads the industry with its customer-centric approach.

Rapidly progressing on its path to becoming a global fintech leader, Sipay was recognized in both 2023 and 2024 as Turkey’s fastest-growing electronic money and payment institution in Deloitte

Technology Fast 50. In 2023, it was ranked 187th on the Deloitte Technology Fast 500 EMEA list, and in 2024, Sipay climbed 68 spots to reach 119th place. Additionally, Sipay earned certification in the Great Place to Work program and was also included in the Happy Place to Work® Turkey 2025 list, which recognizes the best employers each year.

We are looking for a Product Data Analyst for our growing Product team!

The Product Data Analyst provides data-driven insights to support decision-making across all product lines (Hold, Transfer, Spend, App Core, Under 18). This role works in parallel with the Business Product Owner and the Technical Product Owner, contributing to product strategy, delivery, and optimization through analytics.

Qualifications:

• Bachelor’s degree in related field,
• 2+ years of experience in data analytics, product analytics, or business analytics,
• Strong analytical skills with the ability to translate data into actionable insights,
• Bridges the gap between business and data, delivering clear, story-driven insights to product teams,
• Results-oriented, with the ability to quantify product impact,
• Proactive in identifying problems and proposing data-backed solutions,
• Organized and disciplined in managing reporting workflows,
• Excellent communication skills, able to collaborate effectively with technical (data engineers, backend) and business teams (PMs, POs),
• Knowledge of statistical testing and experimental design (A/B testing, cohort analysis),
• Experience working with fintech or payments data is a plus.

Required Tools & Skills:

• SQL, BigQuery, Snowflake or equivalent querying languages,
• Dashboard and visualization tools such as Tableau, Power BI, Metabase,
• Advanced Excel (pivot tables, macros, complex formulas),
• Python / R (preferred) for data analysis and statistical testing,
• Product analytics tools such as Segment, Mixpanel, Amplitude,
• AI-powered analysis and automation tools (ChatGPT, Copilot, Dataiku, etc.),
• User behavior tracking tools such as Google Analytics, Firebase.

Key Responsibilities:

• Designs and maintains KPI dashboards for all product lines,
• Prepares weekly and monthly reports on usage, retention, and revenue,
• Analyzes user behavior and transaction data to identify trends, opportunities, and issues,
• Measures feature-level adoption and conducts segment analysis across customer groups,
• Defines KPI thresholds and sets up early warning mechanisms (e.g., anomaly detection, alerts),
• Designs, runs, and analyzes A/B tests to validate product hypotheses,
• Provides data-driven decision support to PMs and POs, contributing to roadmap prioritization,
• Identifies data quality issues and collaborates with technical teams to resolve them,
• Ensures reporting standards comply with regulatory and compliance requirements.

Why Join Sipay?

🚀 Be part of one of Türkiye’s fastest-growing fintech ecosystems

🌍 Thrive in an innovative, collaborative, and fast-paced work environment

📈 Continuous learning and career growth opportunities

🚗 Transportation allowance

🍽️ Meal allowance

🍳 Complimentary breakfast and lunch at our campus

🏥 Private health insurance

🎂 Birthday leave

🎁 Welcome kit

👋 Buddy Program to support your onboarding journey

🎓 Learning & development opportunities through
Sipay Academy

💻 Access to
LinkedIn Learning

🍹 Fun social breaks and team events

💳
Sipay Card
and exclusive employee benefits

🚴
MultiSport Plus
membership support

🔠 English language training support

🥦 Access to an on-site nutritionist

🫂 Social clubs and wellbeing activities

☕ An in-house barista to keep you fueled throughout the day

If you are ready to make your mark, apply now and let’s build the future together! 🚀

As Sipay Elektronik Para ve Ödeme Hizmetleri Anonim Şirketi , which has the title of data controller, we show the utmost sensitivity for the processing and protection of the personal data of our employee candidates in accordance with the Personal Data Protection Law No. 6698 ("KVKK") and its secondary regulations (together "KVK legislation"). With this Privacy Notice, we would like to inform you about the personal data processing activities carried out by our Company for you, our employee candidates.