Jobs at Djinni

Domain: iGaming / Gambling
Format: Product company
Experience: 5+ years

About the Company

We are an international product company operating in the gambling sector. Our platform delivers real-time personalization for casino and sportsbook products using advanced machine learning. The solution processes live behavioral, transactional, and contextual data to improve player engagement, retention, and overall performance for operators worldwide.

Our focus is on building production-grade ML systems that directly influence what users see in real time — from game recommendations to personalized content and promotions.

Role Overview

We are looking for a Senior Data Scientist to join a product-focused team working on real-time personalization and recommendation systems for iGaming platforms.

This is a hands-on role that combines modeling, experimentation, and close collaboration with engineering and product teams in a high-load, real-time production environment.

Main Responsibilities

• Develop ML-driven features for casino products using supervised learning (regression, ranking, classification)
• Maintain and improve existing recommendation systems in production
• Enhance models using gradient boosting and other supervised approaches
• Perform data cleaning, preprocessing, and feature engineering
• Design and maintain pre- and post-processing workflows
• Optimize training and inference pipelines for performance and reliability
• Integrate ML models into Airflow pipelines in a multi-tenant environment
• Adapt and configure the solution for different clients (tenants)
• Collaborate closely with product and engineering teams on experimentation and feature delivery

As Part of the Team You Will

• Work cross-functionally with data scientists, engineers, product owners, designers, and researchers
• Analyze large-scale datasets to extract insights for product and business decisions
• Propose, implement, and evaluate ML approaches to solve real business problems
• Support and evolve a recommendation solution used across multiple tenants
• Influence product strategy through research, experimentation, and data-driven insights into user behavior

Experience & Education

• 5+ years of professional experience in data science
• Degree in a quantitative field (Mathematics, Statistics, Computer Science, or similar)

Core Skills

• Strong proficiency in Python and SQL
• Hands-on experience with data processing tools (Pandas, Polars)
• Solid engineering skills for building and maintaining scalable ML systems
• Experience implementing observability in ML pipelines (metrics, logging, alerting)
• Knowledge of Docker and Kubernetes
• Strong analytical mindset with the ability to solve loosely defined problems
• Hands-on experience with supervised ML techniques, including:
  • Regression and ranking models (XGBoost, LightGBM, CatBoost, neural networks)
  • Feature engineering and model evaluation (AUC, NDCG, MSE, uplift metrics)
  • Personalization or recommendation systems
• Proven experience deploying ML models to production (near real-time or batch)
• Solid understanding of statistical methods (A/B testing, significance testing)

Nice to Have

• Production experience with large-scale recommendation systems
• Experience with Airflow, Valkey/Redis, FastAPI in production
• Familiarity with contextual bandits or reinforcement learning
• Experience with AutoML tools

Company
The company specializes in lead generation within the iGaming domain, primarily through SEO-driven solutions. They work on long-term client projects and are currently expanding their internal development team.

Position Overview

We are looking for a Lead / Senior Full-Stack Engineer who operates at a true senior / lead level — not by years of experience, but by depth of expertise and ownership.

This role is for someone who:

• takes full ownership of complex systems
• makes architectural decisions
• builds scalable solutions (not just features)
• sets and raises engineering standards within the team

Location & Format

• Remote
• EU time zone required
• Full-time, long-term cooperation

Language Requirements

• English — required for daily communication
• Strong English is a significant advantage

Team & Projects

You will join a stable team working on long-term lead generation platforms.

This is not a task-execution role. We expect you to:

• take ownership of complex technical decisions
• improve architecture and system performance
• raise the overall engineering bar within the team

Tech Stack

• PHP (Symfony)
• WordPress
• JavaScript
• HTML / CSS

Key Requirements

WordPress (must-have, advanced level)

• Experience building complex, large-scale WordPress systems (not content websites)
• Hands-on experience with WordPress Multisite (production)
• Strong experience with custom plugin development, including:
  • OOP
  • Composer / autoloading
  • Typed properties
• Experience with:
  • custom database structures
  • custom caching strategies (not plugin-based)
  • advanced use of WP_Query
  • improving developer & admin tooling

👉 If your experience is mostly theme customization or plugin usage — this role is not a fit.

PHP (strong senior level required)

• 5+ years with modern PHP (8+)
• Ability to design abstractions, libraries, and internal frameworks
• Experience with:
  • phpcs / phpcbf
  • custom sniffs OR PHPParser / AST
  • reflection & introspection
  • DTOs, Value Objects, clean architecture principles

Frontend / CSS

• Strong modern CSS skills (must-have)
• Understanding of browser rendering, layout, and performance

Performance & Optimization (critical)

• Deep understanding of Core Web Vitals
• Real experience with performance optimization (not just tools/plugins)
• Ability to identify bottlenecks and design custom solutions

Mindset & Approach

We are looking for engineers who:

• think analytically and architecturally
• deeply understand systems, not just tasks
• challenge “working solutions” and improve them
• proactively raise engineering standards

👉 If you mainly execute tasks and rely on predefined solutions — this role is not a fit.

AI Usage

• AI is allowed, but must not be a dependency
• Strong preference for engineers with deep system understanding
• AI-generated communication is discouraged

Start Date

• ASAP

Senior Python Engineer (AI-driven Recommendation Platform, iGaming domain)

About the Product

We are developing an AI-powered performance optimization platform for online casinos and sportsbooks. The solution helps operators improve key business metrics by increasing player engagement and loyalty through personalized recommendations and predictive analytics.

The platform collects and processes player behavior data across multiple systems, builds detailed user profiles, and generates actionable insights, including:

• identifying players who misuse bonus programs without long-term retention
• detecting patterns of risky or excessive gaming to support responsible play
• recommending relevant games and activities based on user preferences and behavioral history

You will join a team building scalable recommendation systems, working with large volumes of data, and implementing ML-driven personalization to enhance user experience within iGaming products.

Requirements

• 5+ years of backend development experience with Python
• Strong foundation in mathematics, statistics, or computer science
• Hands-on experience with FastAPI, Django, or Flask
• Solid knowledge of data structures, algorithms, and distributed systems
• Experience with SQL and NoSQL databases (PostgreSQL, Redis, DynamoDB, MongoDB, etc.)
• Practical experience with Kafka or RabbitMQ and asynchronous architectures
• Cloud experience with AWS (Lambda, S3, RDS, SQS, etc.)
• Experience designing and maintaining high-load, scalable systems
• English level — B2 or higher

Nice to Have

• Experience with recommendation systems, data analysis, or ML-based personalization
• Understanding of data pipelines and ETL processes
• Experience with Kubernetes, Docker, and CI/CD pipelines
• Familiarity with Elasticsearch and monitoring/visualization tools (Grafana, Kibana)

Responsibilities

• Design and develop scalable backend services for AI-powered recommendation systems
• Collaborate with data scientists and ML engineers to deploy models into production
• Optimize data storage, processing, and retrieval for large-scale user datasets
• Ensure system reliability, performance, and scalability
• Take part in architectural discussions, code reviews, and mentoring
• Contribute to new features aimed at increasing player engagement and retention

Tech Stack

Python, FastAPI, Django, Flask, Kafka, RabbitMQ, PostgreSQL, Redis, DynamoDB, AWS (Lambda, S3, RDS, API Gateway, CloudWatch), Kubernetes, Pandas, NumPy, SQLAlchemy, Celery, Elasticsearch, Prometheus, Grafana.

Product Marketing Manager (Digital Products / AI)

Remote / Ukraine / Europe friendly

We are launching a new direction focused on AI-powered digital subscription products.

Our goal is to build and scale multiple digital products where users subscribe and pay monthly for access.

We are looking for an experienced Product Marketing Manager who can combine product thinking, market analysis, and content strategy to help define, launch, and grow new digital products.

This role sits at the intersection of product strategy, user psychology, and marketing.

You will work closely with the founders, technical architect, and operations team to turn product ideas into scalable digital businesses.

Responsibilities:

Product Strategy

• Define product hypotheses and help shape new digital products
• Identify user needs and translate them into product direction
• Prioritize the roadmap with the team
• Analyze markets, competitors, and opportunities

Product Marketing & Growth

• Develop product positioning and value proposition
• Design acquisition strategy (channels, funnels, messaging)
• Coordinate product messaging across product and marketing

Content & User Experience

• Create and iterate core product content (stories, flows, explanations)
• Design product communication that drives engagement and retention
• Improve user flows and interface clarity together with design and tech

Product Analytics

• Analyze user behavior (retention, engagement, conversion)
• Monitor product metrics and adjust strategy accordingly
• Run experiments and test variations (content, structure, messaging)

Cross-team Collaboration

• Work closely with founders and technical architect
• Align product output with user needs and business goals
• Coordinate product direction across different stakeholders
   

Ideal Candidate

We are looking for a senior specialist with strong product thinking.

You likely have experience in one of these areas:

• Product Marketing Manager
• Growth Product Manager

• Product Manager with strong marketing focus

   

Required experience

• Experience working with digital products
• Strong understanding of product marketing and user psychology
• Experience analyzing metrics, funnels, and user behavior
• Ability to translate product ideas into clear value propositions
• Experience collaborating with technical teams

Strong advantages

• Experience with AI products or AI tools
• Background in SaaS/subscription products
• Experience launching or scaling new digital products

• Basic understanding of technical architecture or development

   

What we are looking for in a mindset

• Strong product intuition
• Analytical thinking
• Ability to explore markets and dig into problems
• Ownership mentality
• Clear communication and strategic thinking

We are not looking for a junior specialist — we need someone who already understands their strengths and can help shape new products from early stages.

What you will get

• Opportunity to build new AI-driven digital products from scratch
• Direct collaboration with founders
• Freedom to influence product strategy

• Work on multiple product ideas and experiments

   

Hiring process

1️⃣ Initial screening resume and hr interview

2️⃣ Discussion with founders

3️⃣ Final decision

💡 How to apply

Please include:

• Examples of digital products you worked on
• Your role in launching or growing them

Links to portfolio/case studies (if available)

We offer

• A modern office in central Warsaw/Poland, and Budva/Montenegro
• Opportunity to influence the company’s key processes and product development
• Competitive compensation
• Professional growth and participation in large-scale projects
• Access to top AI tools, templates, and analyst support
• Compensation for the cost of group English training
• Fully remote work
• Flexible schedule
• Long-term collaboration
• Compensation for sick leave and paid leave

What You’ll Do
 

Team Leadership & Organization

• Lead, organize, and scale the sales team to meet growth targets.
• Own hiring, onboarding, and ramp-up of new sales representatives.
• Define clear roles, responsibilities, and expectations across the team.
• Build and maintain sales playbooks, scripts, and documented processes.
   

Coaching, Training & Quality Assurance

• Provide ongoing coaching, feedback, and performance improvement plans.
• Run regular call reviews, QA sessions, and one-on-one coaching.
• Ensure high and consistent quality across cold calls, discovery calls, demo confirmations, and demos.
• Identify skill gaps and address them through targeted training and enablement.
   

Performance Management & Reporting

• Own team-level performance metrics and reporting (pipeline health, activity, conversion rates, revenue).
• Conduct regular performance reviews for individual reps and the team.
• Document performance trends, risks, and improvement actions.
• Be accountable for team results, with compensation tied to the team meeting defined performance criteria.
   

Supporting Sales Execution

• Spend time reviewing and shadowing sales reps, particularly during the first months in the role, to understand workflows, strengths, and gaps.
• Step in selectively to support sales activities when it directly helps team performance (e.g., onboarding periods, coverage gaps, or complex opportunities).
• Reinforce best practices by example, without owning a permanent individual quota or day-to-day rep responsibilities.
• Use hands-on involvement to inform coaching, process improvements, and training—not as the primary focus of the role.

Cross-Functional Collaboration

• Partner with Marketing to improve lead quality and funnel performance.
• Work closely with Implementation and Customer Success to ensure smooth handoffs and aligned expectations.
• Share customer feedback and market insights to improve messaging and sales strategy.

What You’ll Bring

• 5+ years of experience in B2B SaaS sales.
• Experience leading, mentoring, or managing sales representatives.
• Strong understanding of the full sales cycle and modern sales processes.
• Proven ability to coach and improve individual and team performance.
• Comfort managing performance, accountability, and difficult conversations.
• Data-driven approach to sales metrics and reporting.
• Excellent communication and organizational skills.
• Hands-on experience with CRM systems (HubSpot, Salesforce, Pipedrive).

    Nice to Have

• Experience in the landscaping, arbor, or field services industries.
• Background in fast-growing or scaling SaaS companies.
• Experience building onboarding or training programs.
   

What We Offer

• Competitive base salary + team-performance-based bonus.
• Fully remote role with flexibility across North American time zones.
• Opportunity to lead and shape a growing sales team.
• Direct impact on company growth and sales operations.
• The chance to work in the green industry, helping tree care and landscaping businesses operate more efficiently while supporting healthier urban forests and a more sustainable planet.

About the Company:
 

We are an international iGaming startup operating in Tier-1 markets (DE, AU) with large advertising budgets. As part of expanding our performance marketing department, we are looking for a Senior Media Buyer who will be responsible for efficient traffic acquisition, consistent growth of key performance metrics, and the systematic development of the company’s advertising channels.
 

Responsibilities:

• Launch, manage, and scale advertising campaigns in Facebook Ads (Gambling / iGaming);
• Work with Tier-1 GEOs (DE, AU);
• Search for, test, and scale effective combinations (creatives, offers, landing pages, funnels);
• Optimize advertising campaigns based on ROI, CPA, and LTV metrics;
• Analyze performance, work with analytics tools, pixels, events, and attribution systems;
• Develop hypotheses and run A/B tests;
• Collaborate with the creative and product teams;
• Monitor profitability and scale successful strategies.
   

Requirements:

• At least 2 years of experience as a Media Buyer (mandatory in Gambling / iGaming);
• Proven experience working with Tier-1 GEOs (DE, AU, etc.);
• Strong expertise in Facebook Ads and campaign scaling strategies;
• Solid analytical skills and experience working with key metrics (ROI, CPA, LTV, CR);
• Understanding of funnels, offers, creatives, and hypothesis testing approaches;
• English level B2 or higher;
• Self-driven, responsible for results, and performance-oriented.
   

What We Offer:

• Fixed salary starting from $1,500 + performance-based bonuses (final conditions discussed individually);
• Fully remote work format;
• Work with Tier-1 markets and large advertising budgets;
• International team and modern tools;
• Opportunities for professional and financial growth;
• Participation in the development and scaling of the company’s products.

Please note that Candidate must be located in Poland
Key tasks

Design and implementation of custom solutions using Apex, Lightning Components, and Flows

Writing and maintaining automated tests using Salesforce testing frameworks

Key skills and technologies:

Experience with Salesforce Data 360 for data AI and marketing

Development and maintenance of REST and SOAP APIs for connecting external systems

Ensuring data and application security, e.g., through OAuth and role-based access control

Conducting code reviews and ensuring high code quality

Proficient in Salesforce DevOps Center and GitHub workflows (CI/CD, pull requests, branching)

Close collaboration with architects, backend developers, and business stakeholders

Optimization of performance, scalability, and reliability of Salesforce solutions

Documentation of processes, interfaces, and components

Support in error analysis and troubleshooting

Completed education or degree in computer science, business informatics, or similar

Excellent English skills, both written and spoken

Strong team player with initiative and communication skills

Optional: Experience with Salesforce B2B Commerce/eCommerce for the development and optimization of online sales solutions

About the Role:

We are looking for a firmware engineer who really knows how to work with modern hardware (ESP32-S3, PICAD-compatible boards) and Zephyr OS. The main task is to write stable, production-ready code for IoT devices of the "data logger / gateway" level: sensors, Modbus, LTE/Wi-Fi, OTA, local logic, energy saving.

No academic R&D — you need a person who quickly makes a working product.

Responsibilities:

• Development of firmware for Zephyr OS for ESP32-S3 / ESP32-C6;
• Work with PICAD-compatible peripherals (sensors, interfaces, IO);
• Implementation of protocols: Modbus RTU/TCP, UART, RS-485, SPI, I2C;
• Network stack settings: Wi-Fi, LTE (via external modules), MQTT;
• OTA updates (MCUboot, Zephyr samples, custom schematics);
• Data buffering, local storage, fallback modes;
• Integration with backend API (REST/MQTT), queue/telemetry processing;
• Optimization of power consumption and performance;
• Writing unit-/integration-tests, working with hardware-bring-up.

Requirements:

• Deep experience in C/C++ firmware development;
• Commercial experience with Zephyr RTOS is required (device tree, Kconfig, drivers, subsystems);
• Practical experience with ESP32-S3 / ESP32-C3 / ESP32-C6;
• Understanding of MCUboot, partition layout, OTA-pipeline;
• Ability to work with peripherals: UART, SPI, I2C, PWM, ADC, RS-485;
• Experience with Modbus (master/slave), preferably with real devices;
• Debug experience: JTAG, OpenOCD, logic analyzer;
• Git, CI/CD, the ability to work in a normal product, and not "flash firmware".

Nice to have:

• BLE (Zephyr BT stack);
• Python for tooling (scripts, tests, production tools).

We Offer:

• Work on a real IoT product (energy logger / gateway), which is already in production;
• Opportunity for professional growth and career development;
• Vacation — 18 working days per year;
• Friendly working environment;
• Sick leave — 5 working days (without documents);
• Health insurance.

Sales Manager (US & Canada Market)
Sofia HR | AI Hiring Platform

Sofia HR is an AI-powered hiring platform helping companies make smarter recruitment decisions through structured interviews and predictive candidate assessment. We are growing internationally and looking for an ambitious Sales Manager to develop the US and Canadian markets.

What you’ll do:

• Identify and engage potential clients in the US and Canada
• Build and manage a strong outbound sales pipeline
• Conduct discovery calls, demos, and commercial negotiations
• Present Sofia HR as a strategic hiring solution for businesses
• Work closely with founders and product team to improve market fit
• Maintain CRM discipline and accurate sales reporting
• Achieve monthly and quarterly revenue targets

We’re looking for someone who has:

• At least 1 year of sales experience
• Fluent / near-native English (C1+ mandatory) with excellent spoken and written communication
• B2B sales experience is preferred (SaaS / HR Tech / Recruitment / Startups as a plus)
• Strong ability to communicate with HR leaders, founders, and executives
• Confidence in outreach, negotiations, and closing deals
• High ownership, proactivity, and startup mindset
• Readiness to work within US / Canada time zones

Ideal background:

• Experience in HR industry, recruitment, talent solutions, or HR Tech
• Experience in a startup / fast-growth company
• Understanding of hiring challenges and recruitment processes

What we offer:

• Opportunity to join an innovative AI hiring startup at an early growth stage
• Direct impact on revenue and international expansion
• Competitive compensation + performance-based bonus
• Remote work flexibility
• Fast decision-making and entrepreneurial environment

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity

Movadex is a product engineering studio that helps startups design, build, and launch complex digital products. Over the past decade we have partnered with founders and venture-backed companies to build MVPs, scale products, and extend engineering teams.

Role Overview

This is a technical, builder-first role at the intersection of GTM, data, and automation.

Not a campaign manager.
A systems builder.

You’ll own the GTM system end-to-end — from data pipelines and enrichment to outbound automation and CRM workflows.

What You’ll Own

• GTM infrastructure (tools, data, automation, workflows)
• Outbound system: sourcing → enrichment → outreach → CRM
• ICP targeting logic and segmentation
• Automation pipelines for prospecting and outreach
• Experimentation and funnel optimization

• Data quality, integrations, and reporting

   

Key Responsibilities

• Build and maintain the GTM stack (HubSpot, Clay, outbound tools)
• Create scalable workflows for sourcing, enrichment, and outreach
• Connect tools and ensure clean data flows
• Automate processes using no-code/low-code tools and APIs
• Build and optimize outbound engines (email, LinkedIn, sequencing)
• Run experiments and improve funnel performance

• Track pipeline and campaign performance

   

Requirements

• 3+ years in GTM Engineering, Growth, RevOps, or Marketing Ops
• Hands-on with HubSpot, Clay, Apollo, LinkedIn Sales Navigator
• Experience building automation workflows and data pipelines
• Understanding of ICP, segmentation, and targeting logic
• Familiarity with APIs, integrations, and data flows

• Experience with AI tools for GTM is a plus

   

Why This Role Matters

You’ll build the system that turns outbound into a scalable, predictable pipeline — working directly with founders.

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.

The Senior Data Analyst will be engaged with the company as a contractor (Private Entrepreneur).

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

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.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Seeking Alpha is looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

The Senior Data Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
• Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores. 
• Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
• Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
• Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
• Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
• Enhance the team's dev-ops capabilities.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 2+ years of proven experience developing large-scale software using an object-oriented or functional language.
• 5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses
• Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code
• Experience with AWS services, including EC2, S3, Athena, Kinesis/Firehose Lambda and EMR
• Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL
• Experience with data pipeline orchestration and scheduling using tools such as Airflow
• Strong problem-solving skills and the ability to work independently as well as part of a team
• High-level English - a must. 
• A team player with excellent collaboration skills.

Nice to Have:

• Expertise with Vertica or Redshift, including experience with query optimization and performance tuning
• Experience with machine learning and/or data science projects
• Knowledge of data governance and security best practices, including data privacy regulations such as GDPR and CCPA.
• Knowledge of Spark internals (tuning, query optimization)

Project:

Gaming platform automation bot as a service

We run >10000 chrome workers at same time
to execute strategies for profit.
 

Stack:

node.js, Pgsql, temporal
 

Core responsibility:
* Design, build and optimize algorithms and strategies
 to increase profits and optimize performance

Main advantages:
* Flexibility. 2 mandatory meetings weekly
* Small team obsessed with analisys/retrospective/excellence

About the Role 

As an Analyst, People Operations, you’ll turn raw HR data into real business impact, shape predictive insights for leaders, and help architect the future of workforce intelligence at our company. 

What you'll do 

• Build predictive models for workforce planning, retention, hiring, and compensation—shifting us from reporting to proactive, forward-looking insights. 
• Integrate data from different data hubs (HRIS, ATS etc.) to create real-time dashboards in Power BI. 
• Automate and maintain agentic AI across People Ops to accelerate decision-making. 
• Own the accuracy of People Insights dashboards—monitor refresh cycles, troubleshoot issues, and ensure top-quality predictive outputs. 
• Build and enhance Power BI dashboards, SQL queries, and data models to support new programs and analytics needs. 
• Use AI tools (Power BI Copilot, AutoML, ChatGPT) to streamline data prep, generate insights, and scale predictive analytics. 
• Partner with stakeholders to gather requirements and continually evolve metrics, dashboards, and AI-driven features. 

What we’re looking for 

• 1,5+ years of experience in analytics or HR operations.
• Proficiency with analytical tools and systems such as Power BI, SQL (basic), Python (basic) and Excel (including macros).
• Experience with predictive analytics, modeling, or forecasting.
• Experience working with project management tools like Microsoft Project, Asana, or similar platforms.
• Strong stakeholder management skills and experience gathering, clarifying, and prioritizing requirements.
• At least upper-intermediate English level
• Strong attention to detail, analytical thinking, and problem-solving abilities.
  
  Why You’ll Love Working With Us
• Make a Real Impact: Be part of a dynamic team that values inclusivity, creativity, and continuous improvement.
• Empower Communities: Play a key role in fostering meaningful interactions and creating resources that genuinely help users.
• Collaborative Environment: Partner with cross-functional teams who value your expertise and insights.
• Grow Your Skills: Enhance your customer service expertise, develop effective communication techniques, and learn to resolve complex issues while contributing to a high-quality customer experience.
• Remote Flexibility and Work-Life Balance: Enjoy a great work-life balance while working remotely. Collaborate with a global team, and thrive in a culture that prioritizes well-being, personal development, and work-life balance.
   

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership