Jobs Data & Analytics

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

The future of Web3 starts with you: join us as a Senior Analyst.

Requirements:

— 5+ years in analytics at a Trading Desk, CEX, prop trading or market-making firm — not bank BI analytics
— Deep hands-on knowledge of trading mechanics: P&L attribution, spread, slippage, funding rates, quoting uptime, inventory exposure — candidate knows these metrics from practice, not from textbooks
— Python — mandatory: pandas, numpy, report automation, exchange 
API data processing
— SQL — advanced: window functions, CTEs, time-series aggregations
— Tableau — proficient: calculated fields, blending, workbook publishing
— Grafana — operational dashboard design, alert configuration
— Track record of building P&L, position, and operational reports from scratch for a trading desk
— Ability to define the right KPIs independently without extensive onboarding
— Understanding of crypto exchange mechanics: derivatives, futures, spot/perp

Responsibilities:

— Build and own management reporting — independently, from week one
— Configure and maintain dashboards for real-time operational monitoring with alerting
— Audit existing dashboards and correct inaccurate metrics — including restoring broken monitors
— Independently define KPIs: proposes the structure, does not only execute tasks
— Formulate data requirements and pass requests to the tech team
— Support the reporting cycle (daily / weekly / quarterly) with direct interaction with desk heads
— Document calculation methodology and standardise metric definitions

It will be a plus:

— Experience working with market makers or institutional liquidity providers
— Familiarity with major CEX platforms (OKX, Binance, Bybit)
— Experience integrating external market datasets

Working conditions:

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.

Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 22 business days of paid leave.
— Additional days off for national holidays.
— Health insurance.

Who we are:

We are a Ukrainian multiproduct company that creates database development and management tools, connectivity solutions, productivity tools, and data services for more than 500.000 clients from 120 countries.

Since 1997, we have been streamlining data workflows for professionals and teams with our intuitive and efficient software products.

We're committed to enhancing the experience of our customers across the globe by minimizing data-related tasks and enabling them to focus on more inspiring goals.

Among our clients you can find such legends as Microsoft Corporation, Oracle America, IBM, Intel, and much more companies that deserved their place in Fortune-100 and Fortune-500.

Whether it's global companies or individuals, we provide a customer-centric approach, delivering high-quality solutions and exceptional support.

Driven by passion, we play a substantial role in shaping the future of data management. 
 
Product that needs your engagement

Skyvia is a versatile no-code SaaS cloud platform designed for data integration, automation, backup, management, and connectivity. It offers support for over 200+ connectors, including popular cloud applications like CRMs, marketing tools, support systems, and management solutions, as well as databases and data warehouses.

Your future team of professionals

You’ll become part of a growing, cross-functional team that is building AI-driven capabilities into the core of our platform. You’ll work closely with engineers, product managers, and designers who are passionate about delivering innovation and tangible value to users

 
The impact you will make:

• Deeply research and analyze AI-driven features implemented by competitors to understand the underlying architecture and approaches.
• Propose multiple implementation options for new AI features, clearly outlining trade-offs, technical implications, and cost efficiency.
• Build standalone proof-of-concepts (PoCs) to validate functionality and feasibility before full-scale development.
• Collaborate closely with the product team to ensure PoCs are aligned with user needs and product goals, maximizing their value.
• Document architectural decisions, implementation plans, and evaluation criteria to ensure transparency and traceability.
• Define or contribute to post-launch evaluation processes, helping to measure the actual impact of features and gather actionable feedback.
• Maintain continuous feedback loops between ideation, implementation, and iteration to ensure long-term value delivery. 

Skills we are looking for: 

• 3+ years of experience in AI/ML engineering or data science.
• Bachelor’s or Master’s degree in Computer Science, Engineering,  or a related field.
• Hands-on experience with LLMs such as OpenAI GPT, LLaMA, or similar.
• Knowledge of agentic techniques, prompt engineering, and fine-tuning language models.
• Familiarity with LangChain or equivalent AI frameworks.
• Experience working with vector databases (FAISS, Qdrant, etc.).
• Proficiency in Python and SQL.
• Understanding of how to work with structured and unstructured data.
• English — Intermediate.

Soft Skills:

• Strong analytical and problem-solving mindset.
• Clear written and verbal communication.
• Ownership, autonomy, and result-driven mindset.
• Adaptability and teamwork.
• Attention to detail and critical thinking.
• Curiosity and willingness to experiment.

Additional skills we would appreciate:

• Familiarity with MCP, ETL, data warehousing, and data extraction (e.g., from web/PDF)
• Understanding of Data Warehousing and ETL

Benefits you get

• Maintain your work-life balance

Manage your own working hours with our flexible schedule

19 days of annual vacation granted on a pro-rata basis

No overtimes required

• Hybrid type of cooperation

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can still take part in increasing the world`s awareness about quality Ukrainian products from any part of the world

• Stay healthy

Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; and special options for those who live abroad.

15 working days of sick leave per year — because your health is a priority.

• Grow with us

In-house English courses — increase your proficiency through our online courses and speaking clubs with a native speaker

Online learning activities — workshops, lectures, and webinars to enhance your leadership, management, and self-awareness skills

Experience exchange — we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team

Promotions, rotations, and transitions — when you believe your skills could benefit a different role or team.

• Stand with Ukraine!

We have an active pro-Ukrainian position, and that means we help our army, our servicemen, and their families not only through constant donations and volunteering, but also through our military leave policy, special health insurance options, and financial help

We are a perfect match if you share our values

We are professionals in our field.

We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks.

We know how to focus on the product, think big, and at the same time delve deep into the details.

We create a calm and friendly atmosphere within the company.

We value the freedom of open and transparent communications.

Radical honesty is embedded in the foundation of our culture.

We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously.

Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation.

Our Hiring Process

• Recruitment Interview
• Technical Interview
• Offer Call

Owns the end-to-end data architecture across both AWS and Azure — from storage and ingestion patterns to governance and security. Works closely with engineering leads and business stakeholders to define a target-state architecture and evaluate the tools and services that support it, and provides architectural oversight as the platform is built out.

Key Responsibilities:

• Define and own the target-state data architecture across AWS and Azure environments
• Design data lake / data warehouse solutions, including storage layers, ingestion patterns, and processing frameworks
• Establish data governance, security, and access-control standards across both cloud platforms
• Translate business requirements into scalable, well-documented technical designs
• Evaluate and select tools/services across AWS and Azure, balancing cost, performance, and maintainability
• Provide architectural guidance and review to engineering teams during implementation
• Support cloud migration and multi-cloud integration initiatives

Requirements:

• 8+ years in data architecture/engineering, including senior/lead-level design responsibility
• Hands-on architecture experience with both AWS (S3, Redshift, Glue, Lake Formation, Athena) and Azure (ADLS, Synapse, Data Factory, Databricks)
• Proven track record designing large-scale data lakes/warehouses and enterprise data governance frameworks
• Strong grasp of data modeling, ETL/ELT design, and distributed data processing (Spark)
• Experience with data security, compliance, and access management across cloud platforms
• Track record leading multi-cloud or cloud-migration data initiatives
• Excellent stakeholder communication; able to present architecture decisions to technical and business audiences

Nice to Have:

• Cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect Expert)
• Experience with data mesh or domain-driven data architecture
• Background in a regulated industry (finance, healthcare, etc.)

EU Remote | B2B

About the project

We are building an end-to-end AI agent workflow connecting Atlassian Rovo with GitLab Duo.

The goal is to create a working prototype that connects agile planning with software development through AI-powered automation, with a clearly defined Jira-to-GitLab integration point and a concept for scaling the solution further.

Atlassian Rovo will support the planning stage by collecting and documenting requirements, using knowledge from Confluence and Jira, creating high-quality User Stories with Acceptance Criteria, and preparing them for automated downstream processing.

Once a User Story is ready, the workflow will be handed over to GitLab Duo, where AI will support the next steps of the software development process.

Your role

• Support the design and implementation of Atlassian Rovo-based workflows.
• Work hands-on with Jira and Confluence Cloud to structure and manage project knowledge.
• Support the configuration and optimization of Rovo to enable requirements gathering and agile planning.
• Help define how Rovo uses information and knowledge from Jira and Confluence.
• Support the creation of high-quality User Stories and Acceptance Criteria.
• Configure and optimize Jira workflows and automation.
• Define and optimize the handoff from Jira/Rovo to GitLab.
• Collaborate with technical teams working on the GitLab Duo side of the workflow.
• Identify opportunities to improve and automate existing agile processes.
• Contribute to the development of a scalable concept for AI-driven project workflows.

What we’re looking for

• Experience as an Atlassian Consultant, Jira Consultant, Atlassian Specialist, or in a similar role.
• Strong hands-on experience with Jira and Confluence Cloud.
• Good understanding of Atlassian Cloud products and their configuration.
• Experience with Jira workflows, Automation, issue types, permissions, schemes, and project configuration.
• Good understanding of Agile processes and requirements management.
• Good understanding of Generative AI, AI agents, and AI-powered automation.
• Ability to understand technical requirements and translate them into practical Atlassian solutions.
• Experience working with both technical and business stakeholders.
• Strong analytical and problem-solving skills.
• English -  B2.

Nice to have

• Hands-on experience with Atlassian Rovo / Rovo Agents.
• Experience with AI agents or GenAI projects.
• Experience integrating Atlassian products with external platforms.
• Experience with GitLab or DevOps environments.
• Knowledge of REST APIs, webhooks, and automation.

What we offer

• Fully remote work within the EU.
• Opportunity to work hands-on with Atlassian Rovo and modern GenAI capabilities.
• An innovative project connecting agile planning and software development through AI.
• Opportunity to help shape a new AI-driven workflow from prototype to a scalable solution.

We are looking for an 

Requirements:
• Strong experience in AI/ML Engineering
• Hands-on experience with AI solutions in production
• Experience with Microsoft Azure
• Azure AI experience is highly preferred
• Strong Python and AI/ML development skills
• Experience with LLMs, Generative AI and AI integrations
• Understanding of scalable AI solutions and cloud architectures
• English — B2+

Duration: 1.5 months

We're looking for a Senior Data Platform Engineer to architect and operate data infrastructure across the client's hybrid cloud (AWS + GCP). 

Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally.

The client is currently in an AI transformation phase, transitioning to Agentic AI Development, and is seeking a Senior Data Platform Engineer to support this transformation. They run a hybrid cloud setup: AWS-first overall, with GCP (BigQuery as primary data warehouse) for data platform and analytics workloads. The Data Platform Engineer will set up and maintain the data infrastructure (data lakes, pipelines, IAM, observability, cost optimisation) that Data Engineers then use to operate on data. Work is expected to be a mix of existing codebase and new functionality.

Responsibilities:

• Architect and operate data infrastructure across hybrid cloud (AWS + GCP).
• Design data lakes; orchestrate pipelines (e.g. Airflow).
• Manage IAM/access management and cost optimisation.
• Maintain observability across the data platform.
• Work with both BigQuery and AWS data lake patterns (Athena, S3, Glue).
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.

• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

   

Requirements:

• Hybrid cloud: AWS and GCP.
• Data lake design.
• Orchestration, e.g. Airflow.
• IAM/access management.
• Cost optimisation.
• Observability.
• BigQuery and AWS data lake patterns (Athena, S3, Glue).
• Python.

Nice to have:

• Terraform.
• Familiarity with fintech-specific domains such as fraud/AML, transaction monitoring, and regulatory compliance. 

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are looking for a business analyst to join our project to migrate from 1C to Odoo. The primary responsibilities of this role include analyzing current business processes, defining requirements, and overseeing the migration of data and processes to the new ERP system.

Full-time, long-term position.

Responsibilities:

— At least 2 years of experience as a business analyst or systems analyst;
—  Practical experience working with 1C;
—  Understanding of ERP systems and company business processes;
—  Experience participating in system automation or migration projects;
—  Skills in describing business processes (BPMN; UML is a plus);
—  Experience writing technical specifications and documentation;
—  Ability to work with large volumes of data;
—  Experience working with Odoo;
—  Experience migrating from 1C to Odoo;
—  Basic understanding of SQL (a plus);

— English intermediate(a plus).

What we offer:

— Competitive salary;

— Paid vacation and sick leaves;

— Paid day off (Ukrainian holidays);

— Ability to work from our cozy office;

— 8 hours working day, 5 days a week;

— Career growth potential;

— Free snacks, fruits, and drinks;

— Friendly team and corporate events.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Requirements
 

🔹0,5+ years of commercial experience as a Business Analyst 

🔹Strong understanding of Agile software development methodologies

🔹Practical experience with key business analysis techniques and requirement management tools

🔹Proficiency in identifying and translating business needs into clearly defined requirements

🔹Experience in drafting functional / business / system requirement specifications

🔹Experience in working with stakeholders and requirements elicitation

🔹Excellent interpersonal and communication skills

🔹Upper-intermediate level of English (both written and spoken)
 

Will be a plus
 

🔹Knowledge of business process modelling (BPMN, UML)

🔹Experience in Business Intelligence systems and data analysis

🔹Ability to create UI wireframes supplementing project specifications

🔹Knowledge of the basics of project and product management

🔹Experience with the major task tracking systems (Trello, Jira, ClickUp, Asana)

🔹Technical background (QA, software development, or data engineering)

🔹Experience in using relational or NoSQL DBMS
 

We offer
 

🔹Personalized professional development plan to the Middle and Senior levels

🔹Your own career path to perfect your skills in the areas of BA / BI / PdM / PM

🔹Individual mentoring, continuous knowledge sharing, and BA team workshops

🔹Opportunity to work with the high-skilled engineering team on challenging projects

🔹Open environment that facilitates professional freedom and growth
 

Benefits
 

We offer a number of benefits for the team members to improve their quality of life and help with achieving professional development goals:
 

Professional
 

🔹Compensation of professional certifications, courses, IT conferences, and events

🔹Individual and group English classes with native-speaking teachers from US & UK
 

Quality of life
 

🔹Our processes are tailored to enable remote work and flexible work schedule

🔹You can choose from a selection of hardware either it is Apple, or PC devices
🔹There are other small things, like gym or massages

🔹There are also frequent team retreats, leisure activities, and holiday celebrations

🔹Gifts on personal and professional anniversaries
🔹21 paid days off and 11 national holidays throughout the year to travel and rest

🔹Health program of SysGears

🔹You are a part of a team, we help each other when life knocks one of us down 🤠
 

Responsibilities
 

🔹Collaborating with developers, designers, QAs to deliver projects efficiently

🔹Contributing to expert in-house and international teams (from US, UK, and EU)

🔹Communicating with stakeholders to identify their needs and clarify requirements

🔹Analysing, validating, grooming and documenting requirements to the web & mobile projects

🔹Visualizing business processes and preparing data models for the software projects

🔹Advising stakeholders on the common practices and possible product solutions

🔹Performing competitor and market analysis, assisting in developing product ideas

🔹Communicating project vision and coordinating development with engineering teams

🔹Managing the development workflow applying Agile methodologies

Follow your passion, create exciting products inspired by industry experts, and work on complex business  solutions until they reach global market recognition. Our aim is to always be the best, grow, improve, and innovate. And we would welcome a like-minded person to become an invaluable part of our team!

Follow our social media — Instagram, Facebook, Linkedin, YouTube
Visit our website and learn about the company’s portfolio and technologies 💻

Required Skills

🔹Knowledge of the Business Analysis basics

🔹Strong critical thinking skills

🔹Superb communication skills

🔹Good organizational and leadership instincts

🔹Upper-intermediate English level (speaking and writing)

Personal qualities

🔹You are detailed-oriented and passionate about the quality of your results

🔹You are constantly learning new trends in IT business analysis and management

🔹You have high empathy and deep understanding of the needs of the people around you

🔹You are easygoing and professional: punctual, balanced, with good self-management abilities

Skills that will be an advantage

🔹Technical Background (QA, design, development, etc.)

🔹Management experience not related to IT

We offer

On the Internship (duration: up to 2-3 months - depends on your performance)

🔹Individual training conducted by a lead Business Analyst

🔹Course that covers all the bases and targets real-life scenarios

🔹Practical tasks with gradually increasing complexity on several projects

🔹Guided participation in a BA service interacting with clients and engineers

🔹Experience exchange practice to learn from other BA specialists
🔹Scholarship per every month of internship 

After the Internship

🔹The position of Junior Business Analyst in the company
🔹Personalized professional development plan to the Middle and Senior levels

🔹Continuous professional training focused at enhancing BA / BI / PdM / PM skills

🔹Further individual mentoring, continuous knowledge sharing, and BA workshops

🔹A variety of challenging projects and the highly-skilled engineering team

🔹Open environment that facilitates professional freedom and growth

Benefits

We offer a number of benefits for the team members to improve their quality of life and help with achieving professional development goals

Professional

🔹Compensation of professional certifications, courses, IT conferences, and events

🔹Individual and group English classes with native-speaking teachers from US & UK

Quality of life

🔹Our processes are tailored to enable remote work and flexible work schedule

🔹You can choose from a selection of hardware either it is Apple, or PC devices

🔹There are also frequent team retreats, leisure activities, and holiday celebrations

🔹Gifts on personal and professional anniversaries
🔹21 paid days off and 11 national holidays throughout the year to travel and rest
🔹Health program of SysGears

🔹You are a part of a team, we help each other when life knocks one of us down 🤠

Responsibilities

🔹Collaborating with developers, designers, QAs to deliver projects efficiently

🔹Contributing to expert in-house and international teams (from US, UK, and EU)

🔹Communicating with stakeholders to identify their needs and clarify requirements

🔹Analyzing, validating, grooming and documenting requirements to the web & mobile projects

🔹Visualizing business processes and preparing data models for the software projects

🔹Advising stakeholders on the common practices and possible product solutions

🔹Performing competitor and market analysis, assisting in developing product ideas

🔹Communicating project vision and coordinating development with engineering teams

🔹Managing the development workflow applying Agile methodologies

Our aim is to always be the best, grow, improve, and innovate. And we would welcome a like-minded person to become an invaluable part of our team! 

Follow our social media — Instagram, Facebook, Linkedin, YouTube
Visit our website and learn about the company’s portfolio and technologies 💻

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Senior Data Analyst to join our team!

Requirements:

• 4+ years of experience in product or data analytics;
• Strong experience with data visualization tools (preferably Tableau) — ability to design clear, insightful, and visually appealing dashboards;
• Excellent knowledge of SQL — writing complex queries, optimizing performance, and working with large datasets;
• Understanding of ETL processes and data modeling principles;
• Curiosity and proactive attitude — you love digging into data, finding patterns, and suggesting improvements.

Will be plus

• Experience in iGaming industry.

Responsibilities:

• Build and maintain Tableau dashboards for key product and business metrics (user engagement, retention, conversion, revenue, etc.);
• Write and optimize SQL queries to extract, transform, and structure data from multiple sources;
• Conduct deep-dive product analyses to uncover trends, user behaviors, and growth opportunities;
• Continuously improve data quality, performance of dashboards, and analytical infrastructure.

Our benefits to you:

• Modern corporate equipment based on macOS or Windows and additional equipment are provided;
• Paid vacations, sick leave, personal events days, days off;
• Referral program — enjoy cooperation with your colleagues and get the bonus;
• Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences;
• Rewards program for mentoring and coaching colleagues;
• In-house Travel Service;
• Multiple internal activities;
• Other benefits could be added based on your location.

About the Project

We are looking for a Data Analyst to join an international project focused on large-scale data aggregation and operational support. This role combines data analysis with operational responsibilities, offering an opportunity to work closely with both internal teams and the client.

Responsibilities

• Analyze large datasets and provide actionable insights.
• Validate business hypotheses and support data-driven decision-making.
• Write, optimize, and maintain SQL queries.
• Investigate client-reported issues and perform data validation.
• Conduct root cause analysis and assist in resolving operational incidents.
• Support day-to-day operational processes and client requests.
• Collaborate with cross-functional teams and stakeholders.

Requirements

• Solid knowledge of SQL, Python, and Excel.
• Strong self-management and ability to work autonomously.
• Experience working in distributed or remote teams.
• Ability to operate effectively in a dynamic, operational environment.

• Flexibility to occasionally support business needs outside standard working hours.

   

Working Conditions

• Working schedule: Sunday–Thursday (Ukraine time zone).
• Strong focus on information security and data confidentiality.

Hiring process

1. HR interview
2. Logic assessment
3. Python assessment 
4. Technical interview
5. Client interview

Join a Company That Invests in You

Seeking Alpha is the world's leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

What We're Looking For

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if you’re great at SQL and have experience analyzing website data, you’re someone we want to talk to.

We’re looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. Our Analysts analyze raw data, not only pre-aggregated data, to extract just the right information and diagnose what is happening on our site.

The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization, and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, we’re looking for experienced analysts who can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we haven’t measured or used new ways to explain user retention, or analyzed features of users' data that we haven’t analyzed.

The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

What You'll Do

• Analyzing the behavior of users on our site and apps:

-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

• Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
• Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
• Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
• Split tests of product features:

-Design a test with clear success criteria

-Monitor test integrity

-Analyze results and give recommendations

-Use segmentation and clear cohort analysis to validate significant conclusions

-Conduct exploratory analysis to identify trends and opportunities

Requirements

• A minimum of 5 years in a B2C website-related Data Analyst position
• Strong SQL skills with experience writing complex and efficient analytical queries
• Demonstrated experience with working in English directly with business stakeholders, understanding their needs, and explaining results
• Understanding of website development and operations and how they connect to data gathered.
• Experience with data visualization tools (Looker/Tableau/PowerBI, etc.)
• Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling

ABOUT OUR CLIENT

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

ABOUT THE ROLE

We are looking for a Senior Software Engineer for the data catalog and enterprise data management layer of a large-scale lakehouse platform — the services that automate data ingestion and autonomously optimize Apache Iceberg tables. You will own features through the full development cycle, from design through deployment, in a multithreaded, distributed environment where scalability, performance, and always-on availability are the baseline expectations.

This is a systems-level, backend engineering role focused on data infrastructure internals — not application development or CRUD services.

RESPONSIBILITIES

• Own the full software development cycle — inception, design, development, testing, deployment — for catalog and data-management services
• Build and operate services for automated ingestion and autonomous optimization of Apache Iceberg tables
• Reason about concurrency and parallelization to deliver scalability and performance in multithreaded, distributed systems
• Drive performance tuning and system-efficiency improvements
• Work with Apache Foundation open-source projects, contributing upstream where agreed
• Participate in code and design reviews, upholding a high engineering bar
• Collaborate with product managers, support teams, and solution architects on feature requests and design updates
• Partner with US-based engineering leads on technical decisions

REQUIRED QUALIFICATIONS

• B.S., M.S., or PhD in Computer Science or a related field
• 5+ years of software engineering experience, preferably focused on database systems or related fields
• Strong object-oriented programming skills in Java or C++
• Solid grounding in data structures and algorithms
• Hands-on experience with multithreaded and asynchronous programming patterns for scalable, performant systems
• A passion for engineering quality — zero-downtime upgrades, availability, resiliency, and uptime as first-class concerns
• Comfort with a fast-moving environment; strong ownership; the confidence to defend a technical position and the openness to be mentored
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

DESIRED SKILLS

• Database internals and query planning
• Distributed systems: concurrency control, data replication, storage systems
• Apache Iceberg or other open table formats (Delta Lake, Hudi)
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Contributions to open-source data infrastructure (Apache projects especially valued)

DETAILS

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

ABOUT OUR CLIENT

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

ABOUT THE ROLE

We are looking for a Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

RESPONSIBILITIES

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code

REQUIRED QUALIFICATIONS

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

DESIRED SKILLS

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions

DETAILS

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

About Deep Knowledge Group

Deep Knowledge Group (https://www.dkv.global/) builds large-scale analytical databases, investment-intelligence systems, industry ecosystem platforms, competitiveness indices and interactive dashboards across frontier industries including AI, Longevity, HealthTech, DeepTech and QuantumTech.

The Data Science department builds and maintains the industry intelligence databases behind those products — organisations, people, products and the relationships between them, across multiple sectors and regions. Every one of them starts as messy public data and has to end up as a clean, deduplicated, verifiable dataset that analysts and downstream products can rely on.
 

About the Role

We currently build each database the way the last one was built. Collectors are source-specific scripts, scheduling is manual, quality is whatever the person who built it checked, and nothing links one database to another. That works at our current size and will not work at the next one.

We are looking for a Senior Data Engineer to own the shared platform that replaces this: one collection and enrichment framework that every database runs on, with orchestration, monitoring, provenance and entity resolution as properties of the system rather than as things individual engineers remember to do.

This is an ownership role. You will work directly with the Head of Data Science on architecture, and you will be the person other engineers bring design decisions to. We are not looking for an extra pair of hands; we are looking for a second point of technical decision-making in the department.
 

Key Responsibilities

• Design and own the shared collection and enrichment framework: what is reusable, what stays source-specific, and where the line between them sits.
• Own orchestration end to end — scheduling, dependencies, retries, backfills, incremental and idempotent re-runs.
• Make entity resolution a permanent service rather than a per-project effort: blocking, matching, thresholds, and a defensible account of why a merge was made.
• Design the provenance model: every value traceable to its source, its retrieval date and the logic that transformed it, six months after the fact.
• Establish the staging-and-promotion rule and enforce it: nothing writes to production tables directly.
• Build monitoring and observability for data, not only for jobs — freshness, coverage, null rates, distribution drift, source schema changes.
• Define the quality standard: accuracy, completeness, duplicate rate, freshness, provenance — and the instrument that measures it.
• Set the schemas, conventions and review standards that the rest of the department works to.
• Design the deterministic backbone of our agent network, and decide where an agent is warranted and where plain code is cheaper, faster and testable.
• Migrate existing databases onto the shared framework alongside the engineers who built them.
• Mentor and unblock other engineers; take architectural decisions off the Head of Department's desk.
   

Required Skills

• Strong Python — you write services and pipelines, not notebooks.
• You have owned a data platform, not just tasks on one — orchestration, scheduling, monitoring, backfills.
• Airflow, Dagster or Prefect in production, with a considered view on why that one.
• SQL and PostgreSQL in depth — indexing, query plans, schema design, migrations.
• Entity resolution or record linkage across sources that disagree with each other, including how you measured whether it worked.
• You have set the standards other people then worked to: schemas, conventions, review.
• Docker, CI/CD, and comfort running production systems on plain infrastructure rather than a managed platform.
• Practical experience with LLM APIs and with validating non-deterministic output before it reaches a production table.
• Data quality discipline: you can state a dataset's duplicate rate or field staleness with evidence, not by inspection.
• The ability to write a design down clearly enough that someone can argue with it.
   

Strong Advantages

• Production collection from public web sources: anti-bot, JS-rendered pages, undocumented APIs, source drift.
• Knowledge graphs, ontologies and canonical entity models across multiple domains.
• Data lineage and governance tooling in production, used by people other than its author.
• Agent orchestration frameworks, and a clear view of their limits.
• Vector search and RAG pipelines.
• Experience turning a team's ad-hoc scripts into a framework that team then adopted.
• OSINT methodology and source verification.
   

What We Will Evaluate

Two things, mostly.

You question your own data. The engineers who work out well here are the ones who notice that a source silently changed its schema, that a 97% match rate is hiding a systematic bias, that a field is populated but wrong. Volume without verification is worth nothing to us.

You explain your reasoning. Much of this work involves judgment calls that nobody can check quickly — which record wins a merge, what confidence threshold to use, when to stop enriching. We need those decisions written down and defensible, not buried in a script.

The hiring process is an intro call, a short practical task on real data, a technical review of your solution, and an offer. We evaluate the task on judgment, not polish: reproducibility, honest handling of edge cases, and clear reasoning about what you chose not to do count for more than a clever one-liner.