Senior Data Analytics Engineer - Data Insights

We are hiring a Databricks Data Engineer to design, build, and operate scalable data pipelines and curated data products on Databricks.

You will work across ingestion, transformation, governance, and delivery layers—using SQL, Python, and PySpark - while applying strong data warehousing principles (Kimball).

This role requires hands-on experience with Databricks platform capabilities, including Unity Catalog and Lakeflow Declarative Pipelines, and a disciplined approach to quality using validation/expectations.

Key Responsibilities

• Build and maintain production-grade data pipelines in Databricks using SQL, Python, and PySpark.
• Implement ELT/ETL patterns for batch and (where relevant) streaming data processing.
• Develop and maintain Lakehouse data models and curated datasets aligned with DWH best practices (Kimball/Inmon/Data Vault).
• Use Databricks-native capabilities to implement robust, maintainable pipelines (e.g., Lakeflow Declarative Pipelines).
• Implement data quality checks (e.g., Expectations) and monitoring to ensure reliability and trust in data products.
• Configure and manage governance and access controls using Unity Catalog, including catalogs/schemas, permissions, and lineage-friendly practices.
• Optimize performance and cost (cluster sizing, partitioning, file sizes, caching, query optimization).
• Collaborate with analytics, data science, and engineering stakeholders to translate requirements into well-defined data contracts and deliverables.
• Create and maintain technical documentation for pipelines, models, and operational runbooks.
• Support operational excellence: incident response, root-cause analysis, and continuous improvement of data platform reliability.

Required Qualifications

• Proven, hands-on Databricks experience in production environments.
• Strong working knowledge of SQL, Python, and PySpark for data engineering workloads.
• Practical experience with Databricks-specific technologies such as:
• Lakeflow Declarative Pipelines (DLT)
• Expectations / data quality validation patterns
• Unity Catalog (governance, access control, catalog/schema management)
• Other Databricks platform components relevant to pipeline development and operations
• Solid experience with data warehousing design and modeling methodologies (Kimball, Inmon, or Data Vault).
• Understanding of data engineering fundamentals: orchestration patterns, incremental processing, SCDs, metadata management, and observability.

Nice-to-Have Qualifications

• Experience with Microsoft SQL Server and T-SQL.
• Experience working in Azure (e.g., ADLS, Azure networking/security concepts, identity/auth).
• Proficiency with Git-based workflows (branching, code reviews) and CI/CD for data pipelines.

Working Style and Collaboration

• Ownership mindset: you build it, you run it.
• Pragmatic engineering: focus on reliability, clarity, and maintainability over “clever.”
• Strong communication: ability to align stakeholders on definitions, assumptions, and trade-offs.

We Offer

• A Truly Global Workplace – collaborate with 40+ nationalities across 25+ countries, embracing diversity, inclusion, and cross-cultural innovation
• Hybrid & Flexible Work – balance your life and career with remote-friendly policies and modern offices across Europe
• A Culture of Growth – accelerate your development with access to LinkedIn Learning, structured mentorship, and internal leadership programmes (HiPo & People Leader tracks)
• Workation Programme – work remotely from abroad for up to 2 months per year and experience new cultures while staying connected and productive
• Financial Growth Opportunities – invest in your future with our share purchase matching programme, doubling your contributions and fostering long-term rewards
• Extra Time to Recharge – enjoy 4 fully paid sick days per year to rest when needed
• Stay Active – access to the MultiSport card, supporting your fitness, wellness, and relaxation goals
• Healthy Office Culture – enjoy fresh snacks and refreshments daily in a modern workspace
• Up Benefia – choose the perks that suit you best with our flexible benefits system, giving you a set budget to spend on categories like fashion, wellness, dining, education, entertainment, and more

We may use artificial intelligence (AI) tools to support specific parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses against predefined criteria. These tools assist our recruitment team but do not replace human judgment. All final hiring decisions are made by human recruiters.

By proceeding to apply for a job with us, you confirm that you have read and accepted our Recruitment Privacy Policy

As a
Payments Data Analyst
, you will help optimize the performance of our global payment infrastructure by turning transaction data into actionable insights. You will work closely with Payments, Product, Finance, Risk, and Data teams to identify opportunities for improving payment success rates, reducing costs, and delivering a better customer payment experience.

This role combines analytical thinking with a strong understanding of payment flows. You will investigate payment performance, identify trends and anomalies, evaluate experiments, and help drive data-informed decisions across the payments domain.

Responsibilities

• Monitor and optimise payments performance, including approval rates, decline patterns, 3DS flows, timeouts, retries and routing rules.
• Analyse and reduce fraud-related declines, collaborate on tuning fraud rules and improving risk thresholds.
• Perform deep-dive analyses to discover patterns, trends and new insights across card schemes, PSPs, BINs, countries and methods.
• Drive actionable outcomes: update routing logic, cascading strategy, risk rules, issuer-specific heuristics and operational configurations.
• Own continuous monitoring: daily health checks, anomaly detection and alerts on key metrics.
• Build dashboards and monitoring tools in Metabase / Amplitude / Tableau
• Prepare clear and actionable analytics reports for internal teams and leadership.
• Evaluate impact of new features, routing changes, ML versions, product experiments and provide data-backed recommendations.
• Work closely with Product, Data, ML, Payments Operations and Fraud teams to design and implement improvements end-to-end.

You will thrive if you have…

• Strong advanced SQL (NoSQL, window functions), ability to build metrics properly
• Understanding of PSP behaviour, decline codes, 3DS, issuer logic, routing, tokens, cascading
• Understanding of fraud basics (RDR, chargebacks, rule tuning, risk signals)
• Ability to translate data into clear actions
• Comfortable in a fast-moving, operational environment
• Ownership mindset, strong attention to detail
• Fluency in Python Data Science stack (Jupyter Notebook, Pandas)

Nice-to-haves

• Knowledge of Russian
• Experience with card schemes / PSPs and issuer-specific patterns
• Hands-on work with 3DS flows, network tokens, or routing optimisation
• Background in fraud prevention (rules, signals, chargebacks)
• Work experience in fintech / high-load transactional products

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

• EU-based employment contract.
• 42 remote work days
• 21 vacation days/10 days paid sick leave
• 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.
• 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, with everything you need for deep work and collaboration.
• Free breakfast options at the office, Wolt Allowance, 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

• HR Interview (40mins)
• Technical interview with the hiring team (1hr)
• Experience shown on site: 2+
• vacancy_type: Payment Operations

Working at Infobip means being part of something truly global. With 75+ offices across six continents, we’re not just building technology — we’re shaping how more than 80% of the world connects and communicates.

As employees, we take pride in contributing to the world’s largest and only full-stack cloud communication platform. But it’s not just what we do, it’s how we do it: with curiosity, passion, and a whole lot of collaboration.

We operate with an AI-first mindset, embedding intelligent tools into our daily workflows to work smarter and more efficiently. Every role here benefits from and contributes to this approach.

If you're looking for meaningful work and challenges that grow you in a culture where people show up with purpose, this is your opportunity.

Let’s build what’s next, together.

What This Role Is All About
As a Data Engineer in our team, you will play a key role in transforming raw data into actionable insights that drive strategic decisions. You’ll work with a wide range of tools and technologies across DWH, BI, and ML platforms, collaborating with global teams to support data-driven decision-making. Our Data Engineers are focused on improving the process of identifying valuable critical data, collecting, structuring, and utilizing data to create comprehensive analytics to support different aspects of our business streams. The team is developing insights used in various scenarios with a curious and business-driven mindset. We work on understanding customer satisfaction, defining and tracking key business metrics, and informing the future roadmap for data-driven decision-making that will push our company to the edge of innovation. You will be part of a collaborative and agile team, focused on quality, effective delivery, and continuous improvement. The team is experienced, offering strong opportunities for learning and mentorship.

What You’ll Do

• Design, build, test, and maintain robust data pipelines that integrate data from databases, APIs, and SaaS platforms into the central data warehouse
• Collaborate closely with BI Developers and business stakeholders to deliver end-to-end analytics solutions, from data ingestion to usable reporting datasets
• Analyze stakeholder requirements, identify data quality or process gaps, and propose practical improvements
• Develop, optimize, and monitor ETL processes to ensure reliable, performant, and scalable data flows
• Work hands-on with Python and SQL to clean, structure, and validate noisy or complex datasets
• Participate in sprint planning with stakeholders, owning multiple data initiatives in parallel and driving them to completion
• Document data flows, transformations, and technical decisions, ensuring alignment with data governance and quality standards
• Explore and implement AI-driven features, identifying opportunities to apply AI in internal systems and processes
• Leverage AI tools to improve development efficiency, automate repetitive tasks, and accelerate delivery

What Makes You a Strong Fit

• 3-5+ years of experience in data engineering, data warehousing, or BI environments
• Strong hands-on experience with SQL and Python in data processing or analytics use cases
• Experience designing or working with data warehouses and dimensional models, understanding how data is sourced, transformed, and consumed
• Practical experience integrating data from multiple systems, including APIs and third-party SaaS tools
• Familiarity with ETL tools and data integration frameworks (e.g., SSIS, Informatica, SAS DI Studio, or similar)
• Experience with cloud-based data platforms and architectures, with Microsoft Azure being an advantage
• Strong analytical, debugging, and problem-solving skills, especially when working with imperfect or unstructured data
• Ability to work directly with stakeholders, ask the right questions, and translate business needs into technical solutions
• Ownership mindset, able to manage multiple initiatives independently while collaborating closely with the team
• Fluent in English, both written and spoken

Nice-to-have Qualifications

• Experience with big data or distributed processing technologies (e.g., Spark, Hive, Kafka)
• Familiarity with data governance, data quality frameworks, or agile development practices
• Exposure to BI tools, dashboards, or reporting use cases
• Experience with AI or machine-learning-enabled analytics and curiosity to explore their practical application in data platforms

Why you'll love it here

• Financial rewards & recognition - A fair compensation aligned with your experience, industry, and market standards, performance-driven bonuses, regular reviews to support your growth and recognize your contributions, and a culture that values your impact.
• Flexible work arrangements - We combine in-person collaboration with remote work and flexible working hours, because great ideas happen everywhere - and not always between 9 and 5.
• ESOP (Employee Stock Ownership Plan) - As an Infobip employee, you’ll have the opportunity to share in our company’s success through stock options.
• Work-life balance and Well-being  - We offer time off when you need it, special leave days for life’s big moments, and a flexible hybrid work model tailored to local regulations.
• Career mobility - Your career is a journey. With internal mobility, upskilling, and mentorship, we help you shape your path.
• Professional development - Learning never stops. Onboarding, mentorship, and training programs help you grow - no matter where you start.
• International mobility - Ready to take your career global? Explore short and long-term opportunities in our Hubs worldwide.  While some benefits may vary by location, our goal remains the same: to support your growth, well-being, and success - wherever you are.  Diversity drives connection

Infobip is built on diverse backgrounds, perspectives, and talents.
We’re proud to be an equal-opportunity employer and are committed to fostering an inclusive workplace.

No matter your race, gender, age, background, or identity — if you have the passion and skills to thrive, there’s a place for you here.

All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender, gender identity, national origin, citizenship, disability, veteran status or any other part of one's identity.
Read more about our hiring process.

Employment Type:
Full-Time, Senior Level

Salary:
$5000

Location:
Remote

Reports To:
Director of Client Services

Direct Reports:
2–4 TikTok Shop Managers

Required Availability:
Monday–Friday, 8:00 AM–2:00 PM PST overlap

About The Role
We are looking for a senior TikTok Shop leader to own a portfolio of established client accounts.

This is
not a day-to-day TikTok Shop Manager position
. You will not spend most of your time setting up shipping templates, updating listings, or auditing campaign assets. TikTok Shop Managers will handle execution.

You will own the bigger picture: client relationships, account strategy, portfolio growth, retention, commercial performance, and team leadership.

You should be comfortable challenging campaign decisions in Seller Center, guiding clients through GMV and profitability performance, leading QBRs with founders and executives, and managing the Shop Managers responsible for daily delivery.

Success in this role requires an equal combination of:

• Deep TikTok Shop expertise
• Strong client and commercial judgment
• Proven people-management ability

What You'll Own

Client and Account Leadership

• Serve as the primary strategic contact for 4–6 TikTok Shop clients
• Lead weekly or biweekly calls, monthly reviews, and executive-level QBRs
• Build account plans covering growth targets, profitability, risks, and key initiatives
• Manage escalations, difficult client conversations, renewals, and scope changes
• Identify and lead upsell opportunities across advertising, creator programs, additional shops, and service tiers

TikTok Shop Strategy

• Build 30/60/90-day plans for new accounts
• Translate client goals into measurable TikTok Shop strategies
• Guide decisions involving GMV Max, Search Ads, affiliate commissions, promotions, catalog strategy, and fulfillment
• Evaluate FBT, seller-fulfilled, and 3PL options based on cost and operational needs
• Review major budget, promotion, commission, and growth decisions before execution
• Identify opportunities for premium seller programs and expansion into additional markets

Team Management and Quality Control

• Directly manage and coach 2–4 TikTok Shop Managers
• Review account performance, listing quality, customer service SLAs, affiliate health, and campaign execution
• Run weekly team standups and individual 1:1s
• Balance workloads and flag capacity or performance risks early
• Contribute to performance reviews and hiring decisions

Reporting and Commercial Performance

• Own monthly performance reports and QBR presentations
• Turn Seller Center data into clear commercial recommendations
• Analyze GMV, orders, ROAS, affiliate ROI, net revenue, fees, and profitability
• Identify which SKUs and creators to scale, where margins are leaking, and which activities should be reduced
• Forecast portfolio revenue and flag retention risks at least 60 days in advance

Escalation and Crisis Management

• Lead responses to Shop Health violations, late-dispatch spikes, fulfillment failures, and policy incidents
• Create clear resolution plans and keep clients informed
• Run post-mortems and document root causes
• Proactively communicate important platform, policy, fee, and advertising changes

Key Performance Indicators

You will be accountable for:

• Net Revenue Retention of 110%+
• Quarterly client retention of 90%+
• Assigned portfolio GMV growth targets
• Quarterly upsell and expansion revenue
• Client NPS of 40+ or CSAT of 4.5/5
• 100% on-time monthly reports and QBRs
• No Shop Health violation unresolved for more than seven days
• Client responses within four business hours
• Major incidents resolved—or supported by a clear action plan—within 48 hours
• Direct reports consistently meeting their KPIs

What We're Looking For

Required Experience

• 4–6+ years in e-commerce account management, marketplace operations, or agency client services
• At least two years of hands-on TikTok Shop Seller Center experience
• Experience managing multiple clients in an agency or services environment
• At least one year of people-management experience with two or more direct reports
• A proven record of owning client retention, expansion revenue, GMV, or portfolio performance

TikTok Shop Expertise

You should have practical experience with:

• Seller Center, Shop Health, ACE Powered Insights, promotions, orders, and policies
• GMV Max campaigns and TikTok Search Ads
• TikTok Shop affiliate and creator programs
• Commission structures, collaboration plans, and creator performance
• FBT operations, costs, inbound shipping, and warehouse processes
• Shopify catalog and inventory integration
• TikTok Shop fees, refunds, commissions, and P&L analysis

Leadership and Client Skills

• Confidence leading founder- and executive-level conversations
• Strong QBR, reporting, presentation, and written communication skills
• Commercial judgment around renewals, upsells, pricing, and scope management
• Ability to coach team members and hold them accountable
• Calm, structured decision-making during escalations
• Strong organization across multiple accounts and direct reports

Nice to Have

• Experience at a TikTok Shop agency
• Experience expanding brands into the UK, Southeast Asia, or other TikTok Shop markets
• Multi-channel experience across TikTok Shop, Amazon, and Shopify
• Broader creator-economy or influencer-marketing experience

Why Join Us?

You will have real ownership—not just a list of operational tasks. You will shape client strategy, lead a team, influence portfolio growth, and work directly with founders and senior leadership.

If you understand TikTok Shop deeply but want to move beyond day-to-day execution into strategic account leadership, this role offers that next step.