Data Engineer

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world

The opportunity
We are seeking a Databricks Data Engineer to join our Consulting practice and support clients in designing, implementing and industrializing modern lakehouse platforms. The role will focus on scalable data ingestion, transformation, data modelling and analytics enablement using Databricks, Apache Spark, Delta Lake and cloud-native data services. Our team is part of EY’s Europe Central (EC) cluster, delivering market leading services to organizations across industries in Cyprus and internationally.

Key Responsibilities

• Design, develop and maintain scalable data pipelines and lakehouse architectures on Databricks.
• Build and optimize Spark-based ETL/ELT workloads using PySpark and/or Scala, with strong focus on performance, reliability and maintainability.
• Implement Delta Lake patterns including bronze/silver/gold layers, schema evolution, partitioning, time travel and ACID-compliant data management.
• Develop robust ingestion patterns from relational databases, files, APIs and streaming or near-real-time sources where applicable.
• Create curated data models that support analytics, reporting and downstream consumption by BI and data science teams.
• Apply Databricks engineering best practices across notebooks, jobs/workflows, reusable libraries, version control, testing and deployment.
• Optimize Spark jobs through practical tuning of joins, partitions, file sizes, caching, cluster configuration and query execution plans.
• Implement data quality, validation, reconciliation and monitoring checks across data pipelines.
• Collaborate with data architects, analysts, data scientists and business stakeholders to translate requirements into high-quality data products.
• Contribute to platform standards, reusable accelerators, code reviews, documentation and engineering governance across client engagements.

Skills And Attributes For Success

• Bachelor’s and/or Master’s degree in Computer Science, Engineering, Mathematics or a related field.
• 3–5 years of experience in data engineering, analytics engineering or a related field.
• Hands-on experience with Databricks is required, including practical use of notebooks, jobs/workflows, clusters and Delta Lake.
• Practical use of Delta Lake for reliable data storage, incremental processing and curated analytical datasets.
• Experience designing medallion-style architectures and separating raw, cleansed and business-ready data layers.
• Strong experience with Apache Spark and distributed data processing, preferably using PySpark and/or Scala.
• Ability to write, review and optimize PySpark code for batch data processing at scale.
• Understanding of Databricks Jobs/Workflows or equivalent orchestration patterns for production pipelines.
• Ability to explain Spark performance concepts clearly during technical discussions or interviews.
• Awareness of Unity Catalog or equivalent governance concepts, including catalog/schema/table organization, access control and lineage considerations.
• Strong SQL skills and experience working with relational databases such as SQL Server, Oracle or PostgreSQL.
• Good understanding of lakehouse and data warehouse modelling concepts, including star schema, fact/dimension models and slowly changing dimensions.
• Experience developing production-grade ETL/ELT pipelines with appropriate logging, error handling, monitoring and documentation.
• Familiarity with cloud data environments, preferably Azure, including storage, identity/access concepts and data integration services.
• Ability to work with structured and semi-structured data formats such as Parquet, Delta, CSV, JSON and XML.
• Strong analytical thinking, problem-solving mindset and ability to troubleshoot performance and data quality issues.
• Effective communication skills and ability to work in cross-functional consulting teams.

What We Offer You
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

In addition to a competitive salary, our benefits include but are not limited to:

• 13th salary
• Provident Fund
• Private Medical and Life Insurance
• Flexible working arrangements (hybrid work and flexible work schedule)
• Friday afternoon off
• EY Tech MBA and EY MSc in Business Analytics
• EY Badges - digital learning certificates
• Mobility programs (if interested to work abroad)
• Paid Sick Leave
• Paid Paternity Leave
• Yearly wellbeing days off
• Maternity, Wedding and New Baby Gifts
• EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)

Are you ready to shape your future with confidence? Apply today.

To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Job Overview

Wargaming is looking for a Game Data Analyst to work on World of Warships, World of Warships: Legends and World of Warships: Blitz in our brand to strengthen the World of Warships product analytics team. The position is dedicated to core game play and balance analysis.

You will be a part of the team working on analyzing, visualizing, monitoring and managing data of three World of Warships Franchise games. We cover all kinds of products’ needs ranging from in-game battle analysis to game economy and financial monitoring. We work extensively with game production team for both providing sufficient data for informed decisions and to enhance data processes within the development.

Reports to

Our future colleague will report to Lead BI Data Analyst

What will you do?

• Work closely with internal customers and stakeholders from gameplay development teams to meet business requirements and transform them into valuable BI reports / research reports for senior management and product teams all over the globe;
• Identify the key needs and point of growth of the development team and identify which data and how can enhance the decision-making process;
• Define the format and to provide the decision support outputs (dashboards, ad hoc reports);
• Determine key measurement metrics for new functionality and define tracking strategy;
• Consult users and lead cross-functional teams to address business issues, if necessary;
• Directly produce datasets and reports for analysis using various system reporting tools, if necessary.

What are we looking for?

• 3+ year experience on similar position;
• Experienced player with a broad gaming background
• Advanced knowledge of SQL at the level of complex queries;
• Data visualization skills, proficiency with BI instruments (we use Tableau);
• Good mathematical knowledge and knowledge of statistics;
• Knowledge of Python popular libraries for data processing and analysis;
• Experienced in working with DWH, overall understanding of DWH design and operations;
• Written and spoken English (B2 and higher).

What additional skills will help you stand out?

• Experience in game development (2+ years) and understanding of game production processes and needs;
• Experience in Wargaming games
• Understanding of multiplatform game analysis basics (PC, mobile, console).

Work mode

• Hybrid (3 days of work from the office)
• This role isn't eligible for relocation & immigration support.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:

• 21 days annual leave (additional days based on years of service: up to 25 days)
• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
• Sick Leave (10 days top-up to statutory allowance per year)
• Maternity Leave (18 weeks top-up to statutory allowance per case)
• Career development and education opportunities within the company
• English Language courses fully covered by the company upon Manager’s approval
• Premium Private Health Care
• Mental well-being program (iFeel)
• Onsite gym and spa
• Free parking close to the Nicosia offices, based on availability
• Free drinks-equipped kitchen in every floor building
• Eurobank benefits (if applicable)
• Employee discounts (e.g. restaurants, bars, etc.)
• Personal Gaming Account
• Onsite canteen with subsidized prices for food and drinks
• Company events, Social Clubs
• Seniority Awards
• Referral program - You can recommend the best talents to the company and receive a reward

Please submit your CV in English to ensure smooth processing and review.

At Exness, we are not just a leading trading broker—we’ve reimagined what it takes to be a leader. With 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for over a million clients globally.

Recognised globally as a Best Place to Work, we’re a people-first company where long-term wins always matter more. As part of our team, you will shape the future of fintech with real technology, care, and purpose.

Why this role matters

As an experienced Data Engineer at Exness in Limassol, Cyprus, you will play a critical role in the Technology department, focusing on developing our data platform through the assembly of complex datasets and data warehousing processes. With a high level of autonomy, you will drive ambitious projects aimed at enhancing data reliability, efficiency, and quality, while collaborating with a team of over 500 engineers. Your work will significantly impact the division by ensuring that functional and non-functional business requirements are met, ultimately advancing the company's goals.

The role is based in our Limassol office, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.

What you'll actually do

• The Data Engineer is accountable for assembling large, complex datasets that meet both functional and non-functional business requirements. This includes preparing datasets from various sources as requested to ensure that data is available for analysis and decision-making.
• The role involves overseeing the data warehousing process, implementing and supporting data model changes, and developing new integrations and data marts. This ensures foundational data structures are robust, scalable, and accommodate the evolving needs of the business.
• The Data Engineer enhances the company's internal data platform by identifying current issues, proposing new features, and gathering feedback from team members.
• A key accountability is to improve data reliability, efficiency, and quality. Through analyzing existing processes and identifying areas for enhancement, the Data Engineer ensures that data integrity is maintained and maximized throughout the organization.
• The Data Engineer is responsible for accurately describing entities and lineage in the data catalog. This includes writing concise and clear documentation that aids in understanding data flows and dependencies within the organization.
• The role requires deep knowledge of primary data warehousing design methodologies, strong experience with column-oriented databases, and expert proficiency in SQL and relational algebra. The Data Engineer must also possess solid skills in Python.
• The Data Engineer must effectively communicate and collaborate with team members and stakeholders, leveraging good problem-solving skills to address challenges that arise. The ability to adapt to new changes and accept constructive criticism is essential for fostering a productive team environment.
• The Data Engineer contributes to onboarding and mentoring less experienced engineers.

Who We’re Looking For

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
• 5+ years of hands-on experience in Data Engineering or related roles
• Solid Python development skills for data services, automation, and platform tooling
• Experience working with production data pipelines and analytical workloads
• Experience implementing data quality checks, monitoring, observability and troubleshooting production data pipelines.
• Deep knowledge of primary DWH design methodologies
• Experience working with analytical or transactional databases such as Vertica, PostgreSQL, ClickHouse, Doris, StarRocks or similar systems
• Experience working with multi-terabyte or petabyte-scale analytical systems.
• Expert knowledge of structured query language (SQL) and relational algebra
• Ability to analyze query execution plans and optimize large-scale analytical workloads.
• Experience designing and implementing ETL/ELT workflows, including data transformation frameworks such as dbt and orchestration platforms like Apache Airflow or Prefect.
• Experience with software development lifecycle, Git workflows, CI/CD and automated testing of data products.
• Experience designing and operating event-driven data pipelines using Kafka and related ecosystem tools.
• Familiarity with big data stack (trino, spark, iceberg, s3)

What We Offer Along The Way

• Competitive salary and annual performance bonus
• Full relocation support for you and your family — flights, housing, visas, and legal assistance included
• Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind
• Unlimited learning opportunities: external courses, English lessons, career and leadership development
• Education allowance covering school and kindergarten fees
• 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave
• Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones
• “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar
• Employee share scheme — grow with us
• Branded MINI Cooper Countryman company car and private parking
• Free in-house sports clubs, Sanctum Club gym access, and jet skis
• Access to a Corporate doctor
• Exclusive discount program with cafes, gyms, and local services
• Expat tax perks: up to 50% income tax exemption
• Support with the naturalisation process for relocated employees

At Exness, we know that changing jobs - and changing countries - is a big step. That’s why relocation with Exness is different. We make it smooth, supported, and truly life-changing.

What Your Journey Looks Like

• Intro call with Recruiter (30 minutes)
• English check (if needed)
• Tech interview (90 minutes)
• Live-coding (90 minutes)
• Behavioural interview (60 minutes)

What It's Like Here
Curious about what working at Exness really looks like? Follow us on Instagram and LinkedIn.

We share the real Exness experience - our people, ideas, moments, and everything in between.

Sounds like you? Apply.

Please note: We occasionally amend or withdraw Exness jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Exness/Exness Group companies around the world. Exness Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Exness. Anyone who demands such a fee is not an authorized Exness representative and you are strongly advised to refuse any such demand.

At Exness, we're an equal opportunity employer where every individual is valued. No matter your race, color, religion, sex, national origin, sexual orientation, gender identity or disability, we welcome you. As an international fintech company, we embrace the richness of our diverse team, respecting each individual and promoting gender equality for all genders in our workforce.

Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement.

We are building the future of live entertainment. We believe that by providing people with the best and highest-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together!

We are seeking an experienced Product Analyst to join our dynamic team in Limassol office.

Job responsibilities

• Generate actionable insights based on data to support product and business decisions;
• Design, run, and analyze A/B tests end-to-end - from hypothesis to implementation and reporting;
• Define and develop new business and product metrics to measure performance and identify opportunities;
• Continuously monitor key metrics and detect anomalies or trends that require attention;
• Conduct deep-dive analyses to identify problem areas and uncover growth opportunities;
• Write clean and efficient SQL and Python code to extract, transform, and analyze data;
• Collaborate on implementing new tracking events and properties to improve product analytics coverage;
• Work closely with CPO, Product Managers, Analysts, Product Designers, and Data Scientists to drive data-informed decisions.

Job requirements

• 3+ years of experience in analytics;
• Strong understanding of A/B testing and solid knowledge of statistics;
• Excellent SQL skills - ability to write complex queries, automate reports, build dashboards and data visualizations;
• Proficient in Python for data analysis, visualization, and automation;
• Experience working with BI tools, especially Tableau (other tools like Power BI or Amplitude are also acceptable);
• Deep understanding of metrics and the ability to define them from scratch, grounded in product logic;
• Strong product thinking - ability to connect data insights with business goals;

Qualifications that can be a plus:

• ML expertise: cluster analysis, regression models, etc;
• Airflow;
• GitLab;
• dbt;

Conditions

We know that great talent deserves great conditions, so here's what you can expect when joining us:

• EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
• Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
• Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
• Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
• Mindfulness & well-being support, including psychological assistance with 50% coverage.
• 50% coverage of school and kindergarten fees for your children.
• Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.
• Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.
• A culture of recognition: a peer reward program to celebrate your contributions.
• A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
• Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
• A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.

Recruitment process

1. HR interview (45 min);
2. Technical interview (1,5 hours);
3. Final interview (1 hour).