Senior Data Engineer (ADB, Spark)

Overview of the Role

As a
Data Analyst
within our Business Intelligence team, you will transform complex data into meaningful insights that drive business decisions across multiple departments and markets. You will work closely with stakeholders, BI Developers, and cross-functional teams to ensure data accuracy, deliver actionable reporting, and continuously improve reporting processes through automation and analytics.

What You'll Do

• Analyze Data: Collect, interpret, and analyze large and complex datasets using statistical techniques to identify trends, patterns, and opportunities that support business decision-making.
• Build Reporting Solutions: Design and maintain dashboards, reports, and visualizations using Tableau. Develop automated reports, alerts, and subscriptions to ensure timely and reliable delivery of business insights.
• Generate Business Insights: Research data, prepare analytical reports, and provide recommendations that help improve operational efficiency, business performance, and strategic planning.
• Drive Process Improvement: Identify opportunities to automate reporting processes and improve data quality, reporting accuracy, and overall efficiency.
• Collaborate Across Teams: Partner with BI Development and business stakeholders to define reporting requirements and optimize database objects, including Tableau cubes, calculated fields, and reporting structures.
• Support Business Projects: Participate in cross-functional initiatives, providing analytical expertise and data-driven recommendations to support business objectives.
• Ensure Data Governance: Handle sensitive and personal data responsibly, maintaining compliance with company policies and regulatory requirements, particularly when collaborating with AML, Legal, and Risk teams.

Core Skills & Tools

• SQL
• Tableau (Desktop & Server)
• Python
• Statistical analysis
• Data visualization and dashboard development
• Reporting automation
• Data analysis and business intelligence
• Microsoft Excel

What You'll Bring

• Proven experience working as a Data Analyst or in a similar analytical role.
• Strong knowledge of SQL, Tableau, and Python.
• Solid understanding of statistical analysis and data interpretation techniques.
• Experience building dashboards, automated reporting solutions, and visualizations.
• Ability to translate complex data into clear, actionable business recommendations.
• Experience collaborating with technical and business stakeholders to deliver reporting solutions.
• Strong attention to data quality, accuracy, and continuous improvement.

Personal Attributes

• Strong analytical and critical thinking skills.
• Excellent problem-solving abilities.
• High attention to detail and accuracy.
• Strong communication and interpersonal skills.
• Ability to manage multiple priorities and work independently.
• Collaborative mindset with the ability to work across teams.
• Proactive approach to identifying improvements and automation opportunities.
• Adaptability in a fast-paced environment.
• Results-oriented with a commitment to delivering high-quality insights.

About Flutter CEE
We are Flutter Central & Eastern Europe (CEE).

As a proud member of the Flutter family - a global leader in sports betting and iGaming - we are building one of the Group's most dynamic tech and product hubs in Central and Eastern Europe. We aren't just here to participate. We're here to change the game.

By uniting local powerhouses like MaxBet, Adjarabet.com , and Adjarabet.am , we combine deep regional expertise with the scale and strength of Flutter's global platforms. We're setting a new standard for entertainment, responsibility, and innovation - powered by real customer signals that shape everything we build.

Settling for the status quo isn't in our DNA. We build systems designed to scale.

We're moving faster, thinking bigger, and putting our customers exactly where they belong: at the heart of every decision. We start by listening to our customers and the communities we serve. What we see, hear, and learn become clear signals, and those signals quickly shape product decisions, better experiences, and responsible innovation.

Technology powers our ambition. The Signature System - our operating model - makes our signal-led approach repeatable and scalable across markets. It's how we move fast and grow with confidence.

As part of Flutter, we benefit from the Group's collective advantage - the Flutter Edge. It allows us to identify success in one market, replicate it across brands, and implement proven ideas quickly - with customers always at the forefront.

We're a team of thousands, driven by a challenger mindset and a shared commitment to lead. We are shaping the future of iGaming in Central and Eastern Europe right here, right now, and our technology and product teams are defining what responsible innovation looks like in practice - not just in theory.

We are Flutter Central & Eastern Europe (CEE).

Built on experience. Built to lead.

Local champions. Global infrastructure.

Why choose us

At Flutter CEE, people have access to vast opportunities for career growth and self-development. Our employee benefits package goes far beyond offering the minimum: We support our people in becoming their best version at work and beyond - and our benefits reflect that commitment.

These are some of the benefits included in our employee package:

• Generous annual leave
• Hybrid work
• Individual health insurance
• Paid sick leave
• Paid maternity & paternity leave
• Life event reward
• Performance bonuses
• Referral bonuses

Join Exadel as a Senior Data Engineer and bring logic to life. Solve analytical challenges and build solutions that matter—with a sharp, collaborative team.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About The Client

Our client is a marketplace platform that connects people with local experiences, events, and travel options, helping them discover new and familiar activities that enrich everyday life. It also supports local businesses by strengthening customer relationships and contributing to vibrant communities. Despite operating at global scale, the culture remains fast‑moving, innovative, and impact‑driven — combining the resources of a large organization with the autonomy and ownership of a smaller one.

What You'll Do

• Design and develop high-volume batch / streaming data ingestion pipelines and frameworks spanning AWS and GCP data platforms
• Conceive, code, and launch the next-generation data ingestion and curation platforms
• Participate in defining the requirements, system, and data architectural discussions
• Technically lead and mentor junior engineers for best practices in software development and data engineering lifecycle
• Collaborate with cross-functional agile teams of software engineers, data engineers, ML experts, Data Analysts, and others in building new product features

What You Bring

• Strong experience in distributed systems, data engineering, software engineering, or similar fields
• Rigor and robustness in coding and design, with a thorough understanding of performance trade-offs
• Strong coding skills in a language such as Python, Java and Scala
• A passion for building data platforms, a desire to go into uncharted territory with bold new ideas, and a willingness to go the last mile on execution
• Experience with SQL and NoSQL databases (BigQuery, Teradata, MySql, Postgres, Cassandra etc.)
• Experience in big data technologies like Hadoop, Hive, Apache Spark, etc.
• Experience with Airflow or any other orchestration tool
• In-depth experience in dealing with, and understanding, and troubleshooting ETL, data lineage, data leaking, overall data quality issues, backfills, etc. Can drive and lead independent resolution, communication, and follow-ups
• Experience in batch and streaming data pipelines
• Experience in both software development and data engineering
• Experience in GCP or AWS Cloud technologies , specially related to data processing at scale
• Designing, implementing, and supporting production services with tight SLAs
• Experience developing distributed applications with central logging, metrics, monitoring, and alerting tools such as Elasticsearch and Wavefront
• A clear understanding of testing methodologies, CI/CD, and other industry best practices

Nice to Have

• Strong coding skills in Python
• Experience in Google Data Streams, Google Dataproc
• Experience with change data capture(CDC) technologies
• Modern data warehouse technology like Delta lake is nice to have

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
• Compensation details are shared with candidates at the early stage of the recruitment process.
• The offer is not binding until a signed contract is in place.

Your Benefits at Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement
• Well-being program
• Team events & local benefits
• Sports compensation
• Referral bonuses
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We’re looking for a strong, product-minded
Antifraud Analyst
to support our growing motorcycle lending portfolio by providing dedicated analytical and data support to the Underwriting function while owning the fraud detection layer end-to-end.

This isn’t a “run the report and hand it off” role - you’ll independently analyze how fraud and underwriting processes work, build new controls from scratch, help them scale efficiently alongside the business, and continuously ask,
How can we make this better?
If you approach fraud systems the way a product manager approaches a feature, you’ll fit right in.

Your Future Responsibilities Await

• Develop and maintain reports and dashboards covering underwriting performance, approval rates, turnaround times, productivity, and other key KPIs.
• Build and maintain data pipelines and analytical datasets required for underwriting monitoring and reporting.
• Perform deep-dive analysis of underwriting processes, customer segments, approval/decline patterns, and portfolio performance.
• Support Product and Underwriting teams with data-driven insights and ad hoc analysis.
• Identify process bottlenecks, inefficiencies, and opportunities for automation.
• Monitor data quality and investigate discrepancies in underwriting data and reporting.
• Develop automated monitoring and early-warning indicators for significant changes in underwriting performance.
• Support new product launches and process changes by defining metrics, reporting requirements, and analytical controls.
• Work closely with Product, Risk, Data, Technology, and Operations teams on data and system improvements.

What We Expect From Candidate

• Strong SQL expertise - mandatory, including complex joins, CTEs, window functions, aggregations, and working with large datasets.
• Strong analytical and problem-solving skills.
• Experience building reports, dashboards, analytical datasets, and data pipelines.
• Ownership mindset and proactive approach

Operational Products Pricing Group / Asset-Liability Management Department

Key Responsibilities:

• Develop and analyze pricing models for operational products;
• Monitor and analyze fee income and cost trends;
• Work with databases; process and transform data for various types of analysis;
• Prepare presentations;
• Prepare regular and ad-hoc reports for management;
• Analyze market/competitor pricing;
• Ensure data quality control and continuous improvement in processes.

Qualifications:

• Bachelor’s degree in finance, economics, mathematics, data analytics or a related field;
• Minimum 1–2 years of work experience in data analytics, portfolio risk management or financial analysis and reporting;
• MS Office;
• SQL;
• Knowledge of Power BI is a plus;
• Knowledge of banking/financial sector products is preferred.

Required Skills:

• Analytical thinking and quantitative skills;
• Knowledge of basic finance principles;
• Attention to detail and accuracy;
• Data visualization and presentation skills;
• Ability to work both independently and in a team;
• Ability to prioritize effectively and meet deadlines.

If interested, please apply by
August 27, 2026