Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach in building the product or business strategy, defining and measuring success metrics, learning and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and also other members of the Data team. We leverage experimentation, statistical modeling and machine learning techniques, causal inference, and data storytelling to deepen our understanding of Asana customers and make optimal decisions to drive more business value.

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.

Our employees in Poland are employed under a contract of employment.

What you’ll achieve

• Design and analyze experiments and causal analysis to ship impactful product changes that help customers quickly find what they need on Asana, specifically for our Mobile team.
• Proactively take on Analyses and develop compelling narratives that inform product strategy and influence business & roadmap decisions.
• Defining and adding new metrics to track success of our enterprise products and aggregate and publish them to our data warehouse to help answer all types of questions proactively.
• Building dashboards to highlight impact potential and other areas of opportunities.
• Communicating effectively and presenting to both technical and non-technical audiences.
• Establishing the Data Science presence in a new office and providing mentorship as the office grows. 

About you

• Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience
• 7+ years of experience in applying data science techniques to drive technical product development and decision-making
• Strong technical background in statistics, math, computer science, information science, or another quantitative field
• Fluency in at least one data processing and programming language (e.g. Python, R), relational data modeling and SQL, familiarity with distributed data processing systems (e.g. Spark, Redshift)
• Expertise in statistical methods and experimental design and analysis
• Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning
• Excellent written and verbal communication skills
• Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

• Generous, transparent and fair compensation system
• Contract of Employment (and the option of  50% tax deductible costs for author’s rights usage in respect of  applicable roles ) 
• Health insurance with dental and travel coverage (Lux Med) 
• Lunch catering on the days that you work from the office
• Career growth budget 
• Home office setup budget 
• Gym/Fitness reimbursement
• Fertility healthcare and family-forming support with Carrot
• Mental health support in Modern Health
• Group life insurance
• MacBooks with all necessary accessories

For this role, the estimated base salary range is between 24,960 PLN - 31,937 PLN gross per month (subject to all taxes and necessary deductions) . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity and  sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-AZ

The Role

At Cognism, the security of our data, our systems and our clients’ systems is a business priority. Information security is embedded in the way we work, and we are driving a culture where the fastest path is the securest path. As the function continues to mature, we are now hiring for a Director of Security Engineering & Operations to report directly to our CISO. In this role you will own and drive the technical security strategy for Cognism’s web and data products, as well as our corporate environment. You will be responsible for designing a security programme that protects our most sensitive assets: our data, our data fusion engine and the logic that powers it. As a trusted partner to our R&D leadership team you will help to define and drive the long-term security engineering maturity roadmap, driving alignment across engineering leaders, product leadership and IT. If you’re energised by the idea of shaping measurable security processes and controls, from the ground up, aligning engineering around secure-by-design principles, and elevating operational excellence, then this is the role for you. This is a rare opportunity to define the technical security vision for a dataintensive product at a moment where AI, scale, and engineering velocity are creating new and exciting challenges. You will shape how Cognism builds securely for the next decade.

What success looks like

Within 12 months, you will have:

• Delivered a unified security engineering roadmap aligned with engineering leadership.
• Matured secure SDLC adoption across Web and Data engineering.
• Improved MTTD/MTTR through stronger SOC operations.
• Invested in and mentored a team with clear ownership, KPIs, and engineering trust.
• Reduced engineering friction by creating pragmatic, developerfriendly guardrails

What You'll Own

Security Strategy & Engineering Integration

• Define and own Cognism's technical security strategy that seeks to embed security-by-design within our web and data products, our data fusion engine and pipelines, and our corporate landscape. You will drive a strategy that is pragmatic, risk-ranked, and aligned to engineering velocity.
• Work directly with product and technology leadership as a strategic partner. You will drive ownership and accountability, clearly agreeing ways of working between your team and product and technology teams.
• Set and direct a secure SDLC strategy that engineers engage with, coaching and mentoring our application security engineer with running our threat modelling program, embedding security in CI/CD, and iteratively improving our vulnerability management processes.
• Partner with engineering leadership to ensure risk-driven supply chain management across our product, ensuring what we bring in doesn't undermine what we protect.
• Work directly with our Director of IT operations to ensure our corporate security posture is mitigating risk and empowering our employees to be as secure as possible, through guardrails that protect unacceptable risk but don’t stifle innovation.

Data & AI Security

• Partner with our VP of Data Engineering to strengthen the security of our enrichment engine, data pipelines, and warehouse ecosystems.
• Direct a strategy that considers security across the full data stack - from ingestion through to the warehouse - with a focus on access governance, data classification, and secrets management as non-negotiables.
• Define how Cognism embeds AI securely as LLMs and agentic workflows move deeper into the product and our technology teams’ operations.
• Partner with our CISO to shape and implement an AI security posture that is embedded in strong security foundations, helping us stay ahead of the threat landscape rather than reacting to it.

Detection, Response & SOC Partnership

• Own the strategic relationship with our 24/7 outsourced SOC holding them to a high standard on threat hunting, threat intelligence utilisation, and automated response, not just SLA compliance.
• Ensure Cognism has a holistic, well-maintained SIEM that reflects how we operate and improves continuously as the threat landscape evolves.
• Build the internal team into a trusted escalation layer, with clear incident response playbooks, rehearsed escalation paths, and a feedback loop that sharpens detection over time.

Team & Culture

• Lead a team of application and infrastructure security engineers, setting the standard for technical excellence and deep partnership with their engineering counterparts.
• Build a security culture where developers raise security questions early, understand threat models, and own remediations, not because policy requires it, but because the culture makes it natural.
• Be the security leader Cognism's engineers want in the room: credible enough to be trusted, collaborative enough to be included, and strategic enough to make it count.

What We Need

Leadership & influence

• Demonstrated experience building security programmes from scratch or transforming them significantly in a product-led, engineering-first company.
• A track record of influencing engineering culture and earning trust, not enforcing it.
• Experience managing external security partners, (e.g 24/7 Security Operations Centre, penetration testing 3rd parties) and raising their performance through clear accountability, not just contract reviews.
• Able to communicate risk in business terms to exec and board audiences, and technical terms to engineers, without losing precision in either direction.

Technical foundation

• Strong AppSec expertise (OWASP, API security, SAST/DAST, SDLC) with practical threat modelling experience – enough to challenge and coach our most senior application security engineers.
• Handson understanding of data security, cloud data warehouses, and pipeline integrity – enough to ensure we are driving the right programme of work across our technology department.
• Cloud security fluency with working knowledge of container and Kubernetes security, IAM design, and cloud-native security tooling – enough to clearly identify, prioritise and challenge solutions for implementing security in our cloud environment.
• Working knowledge of AI/LLM security risks: enough depth to assess integrations, define guardrails, and evolve the programme as the technology does.

Mindset

• Risk-based by instinct: prioritises based on both technical and business impact
• Builder mentality: energised by creating structure where there isn't any, pragmatic about sequencing, and focused on outcomes over coverage.
• Genuinely curious about AI, not just its security risks, but its potential to improve how security is done.

Evoplay is one of the leading iGaming providers, recognized for its innovative approach to game development and technological solutions. The key to this success is the teamwork of like-minded people who are passionate about a common goal and love games.

Our mission is to surprise not only the iGaming market but the entire entertainment industry with our interesting and unique products. Our game portfolio of 150+ titles, where each is a unique and exciting story, is presented all over the world, including Europe, Latin America, Asia, and the CIS.

We are looking for a strong specialist who goes beyond data processing — someone who understands the business behind the data and can influence decisions through analytics. This role requires autonomy, fast learning, and full ownership of data quality and analytical outputs.

Requirements

• Advanced Python and SQL (query optimization, complex data transformations, large-scale data handling)
• Hands-on experience with ClickHouse or other columnar databases
• Strong background in building ETL/ELT pipelines (ingestion, transformation, orchestration). Experience with Airflow is a plus.
• Solid understanding of Data Warehouse architecture
• Strong Data QA skills (identifying and resolving data issues)
• Experience with Power BI (building and maintaining reports)
• Ability to quickly understand business logic and translate it into data models
• High attention to detail
• English — B2 or higher (working proficiency)

Nice to Have

• Experience with data governance implementation
• Experience in high-load systems
• Experience working with product and business teams

Responsibilities

• Own data quality: identify, analyze, and fix data issues
• Translate business processes into reliable data structures
• Build and optimize ETL pipelines
• Deliver clean and structured data for analytics and BI
• Handle AdHoc analytical requests under tight deadlines
• Maintain and improve Power BI reporting
• Automate repetitive tasks
• Provide analytical support
• Train users on BI tools

What we offer

• Corporate psychologist;
• Gifts for significant occasions;
• Legal support;
• Flexible working hours;
• Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

❗️IMPORTANT: This position is office based for our office in Warsaw, Poland.

❗️We can provide relocation assistance if you're outside of the city or country.

We are seeking a highly skilled Data Engineer with expertise in managing, designing, and optimizing data pipelines utilizing Apache Airflow, Snowflake, and Apache Kafka.
This individual will play a pivotal role in architecting robust, scalable, and efficient data solutions, ensuring the integrity, reliability, and accessibility of our data infrastructure

✅ Responsibilities:

• Develop and implement data models to support business requirements, optimizing for performance and scalability;
• Design, build, and maintain scalable data pipelines using Apache Airflow;
• Implement and maintain Kafka-based streaming data pipelines for real-time data processing and integration with various systems;
• Integration to third party databases and APIs;
• Establish monitoring, alerting, and maintenance procedures to ensure the health and reliability of data pipelines;
• Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand data requirements.
  
  

✅ Requirements:

• Proficiency in Python, SQL, and experience with data manipulation and transformation;
• Data warehouse and data modeling techniques;
• Experience in designing, building, and maintaining complex data pipelines using Airflow;
• Proven track record in data engineering roles, with a focus on designing and implementing scalable data solutions using Snowflake or Redshift;
• In-depth understanding and practical experience in implementing Kafka-based streaming architectures for real-time data processing.
  
  

✅ We offer excellent benefits, including but not limited to:

✔️Career growth opportunities in an international and dynamic environment;

✔️Opportunity to develop language skills with partial compensation for language courses;

✔️Special gifts for birthdays, weddings, and newborns;

✔️20 working days of paid annual vacation, plus paid sick leaves;

✔️Office snacks and refreshments;

✔️Sports package to support a healthy lifestyle;

✔️Comprehensive medical insurance for you and your partner;

✔️Comfortable office with great facilities in a prime location;

✔️Exciting corporate events, team-building activities, and international company parties.

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team collaboration, and organizational control into a single coherent system. This platform serves as the execution and governance layer for AI-driven development and is deeply integrated with JetBrains tools and designed to work across teams, products, and environments.

As part of this vision, we’re building AI governance capabilities into JetBrains Console that help organizations manage, observe, and understand AI usage across their teams. Our AI analytics give company admins and decision-makers visibility into adoption, usage, cost, and the impact of AI agent development.

We’re looking for a Senior Product Manager to lead the vision and execution for customer-facing AI analytics as part of our AI governance product. This is one of the most valuable areas of the platform – it helps organizations understand how AI is being adopted across JetBrains products and third-party AI tools, how it affects developer workflows, where friction exists, and how to make better decisions about rollout, budgets, limits, and tooling. 

In this role, you will:

• Own the product roadmap for AI analytics within JetBrains Console.
• Drive product discovery using customer research, product telemetry, usage data, and feedback from Sales, Customer Success, and other customer-facing teams.
• Define and develop analytics experiences across adoption, usage, cost, activity, and impact.
• Identify, define, and improve the product metrics behind our analytics, ensuring they are meaningful, trustworthy, and actionable for customers.
• Generate, prioritize, and validate hypotheses through research, data analysis, and experimentation.
• Work closely with engineering, design, and data warehouse teams to define problems, shape solutions, and iterate quickly.
• Collaborate with adjacent product teams across AI, IDEs, licensing, and administration to build coherent customer experiences.
• Help shape the next generation of analytics capabilities, including deeper dashboards, segmentation, and API-enabled access to analytics data.

We’ll be happy to have you on our team if you:

• Have 5+ years of product management experience, ideally in B2B or enterprise software.
• Have experience building analytics, observability, reporting, or admin-facing products.
• Have a technical background or hands-on experience with software development.
• Are familiar with modern software development practices and developer workflows.
• Have a strong understanding of product metrics, telemetry, and data-informed decision-making.
• Are comfortable working with technical products and engineering-heavy teams.
• Are proficient in English, with strong written and spoken communication skills.

We'd be especially thrilled if you have:

• Experience in AI products for developers, governance, compliance, or usage-based platforms.
• Experience building products for software teams, engineering organizations, or technical decision-makers.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-HYBRID - if you want LinkedIn to post your role as hybrid in all the locations where the role is open ---> leave this tag in JD
#LI-AA1 

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This role is designed for a "Hub-and-Spoke" organizational model. The Head of Data will not manage the day-to-day tickets of embedded analysts but will own the Data Strategy, Infrastructure, and Standards that allow those analysts to be successful and consistent across the company.

Role Mission

As the Head of Data, the mission is to transform a decentralized data landscape into a unified, high-performance ecosystem. Head of Data will bridge the gap between autonomous product squads and a centralized data vision. Head of Data is the architect of our data culture, ensuring that while analysts sit within different business units, they operate with a common language, world-class tools, and uncompromised data integrity.

Key Responsibilities

Strategic Leadership & Governance

• Unified Data Strategy: Define and execute a global data roadmap that aligns with company-wide OKRs.
• Standardization: Define universal metrics (e.g., "Active User," "Revenue") to ensure a single source of truth across all departments.
• Data Governance: Set policies for data privacy, security, and compliance (GDPR) without bottlenecking the speed of the product teams.

Platform & Infrastructure

• Modern Data Stack: Own the selection and maintenance of our data warehouse (e.g., Snowflake/Redshift), transformation layers (dbt), and BI tools (Looker/Tableau).
• Data Engineering Oversight: Lead the core data engineering efforts to ensure a robust ETL/ELT pipeline that serves the decentralized "spokes."
• Self-Service Enablement: Build the infrastructure that allows non-technical stakeholders to access insights without needing an analyst for every query.

Functional Excellence & Community

• The Data Guild: Create and lead a "Data Guild" or "Community of Practice" to facilitate knowledge sharing, peer reviews, and mentorship among embedded analysts.
• Talent Bar: Define the hiring standards, leveling rubrics, and career paths for all data roles across the company. 
• Best Practices: Drive the adoption of version control (Git), documentation, and automated testing (Data Quality) within the analytic workflows.

Business Impact & Culture

• Data Literacy: Act as an evangelist for data-driven decision-making, coaching C-suite and Product Leads on how to better leverage data.
• Resource Allocation: Partner with Department Leads to identify where data gaps exist and advocate for the placement of analysts in the highest-impact areas.

Key Requirements

Strategic Leadership & Organizational Design

• Architectural Strategy: 6+ years of experience in Data/Analytics, with a proven track record of scaling "Hub-and-Spoke" or Data Mesh models. Demonstrated ability to balance centralized governance with decentralized execution speed.
• Strategic Influence: Proven ability to influence and align senior stakeholders (C-level, Product Leads) who do not have a direct reporting line to this role. Ability to lead through expertise and professional authority.
• Data-as-a-Product Mindset: A strategic approach to treating the data platform, tooling, and core datasets as internal products, where embedded analysts and business units are the primary customers.
• Change Management: Experience in leading organizational transitions (e.g., from centralized to decentralized) and establishing a high-performance data culture across distributed teams.

Technical Excellence & Methodology

• AI Modernization & Tooling: Lead the evaluation and strategic implementation of cutting-edge AI-driven data extraction solutions, ensuring selected technologies align with cross-departmental requirements and scale seamlessly across the organization’s data infrastructure.
• Modern Data Stack Mastery: Expert-level knowledge of cloud data warehousing (e.g., Snowflake, Redshift), transformation layers (dbt), and orchestration.
• Advanced Analytics & Modeling: Proficiency in SQL and Python/R for complex data modeling and predictive analytics. Deep understanding of version control (Git) and CI/CD practices in data workflows.
• Statistical Rigor & Experimentation: Extensive experience in designing and analyzing A/B tests, causal inference, and applying advanced statistical methods to drive business decisions.
• Operational Intelligence: Background in high-scale operational analytics, including forecasting, capacity planning, efficiency analysis, and automated quality assurance.

Functional Management & Governance

• Talent Development & Bar Raising: Experience in defining hiring standards, career frameworks, and mentorship programs for Data Analysts and Data Scientists.
• Data Governance & Quality: Proven ability to establish global data standards, master data management, and unified metric definitions to ensure a "Single Source of Truth" across the organization.
• Storytelling & Communication: Exceptional ability to translate complex technical findings into persuasive, executive-level narratives that drive operational and strategic improvements.
• Pragmatic Problem Solving: A results-oriented mindset with the ability to bridge the gap between high-level data science and pragmatic, actionable business solutions.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers. 

What We Offer:

• Competitive Salary: Starting from 19 930-29 920 PLN (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential.
• Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one.
• Annual Development Budget: €1,000 to invest in your personal and professional growth.
• Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week.
• Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along!
• Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration.
• Empowerment and Ownership: We believe in empowering our people to take initiative and drive meaningful change.

Job Overview

Wargaming is looking for a proactive, excited, and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player's behavior and the events in the ‘WoT universe’: from economic, financial, and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry, and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for the decision-making process, with the Data Warehouse team responsible for data storage, reports system, and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for a non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in, and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

Work mode

• Full-time employment

• Hybrid (2-3 days of work from the office) or remote (from anywhere within Poland).

• Candidates must be legally authorized to work in Poland at the time of application

Type of Contract and Salary

• Employment Contract (umowa o prace)

• The salary range for this role is 15 000 - 25 000 PLN gross monthly

 The final salary within the range will depend on the candidate’s experience, skills, and performance during the interview.

 Please note that this salary range applies to Poland; for other locations, it might be different.

Benefits

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

• Additional paid time off (5 Personal Days, Birthday Leave) on top of the statutory minimum

• Sick Leave 100% Compensation (10 days per calendar year)

• Career development and education opportunities within the company

• Premium Private Health Care 

• Mental well-being program (iFeel)

• Multisport card

• Personal Gaming Account 

• Company events

• Seniority Awards  

• Referral program - you can recommend the best talents to the Company and receive a reward  

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

A Career with Point72’s Technology Group

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

We’re looking for individuals that are highly proficient in their respective technology platform, articulate, solution driven, client focused, and proactive in building their technology skills.

What you’ll do

You will be part of the team that builds a multitenant data platform to onboard internal and external data sources and perform a central role in data ingestion, consumption, and cataloguing. You will join a team of experts in data pipelines focusing on data streaming and acquisition, storage of the data in multiple forms (raw, normalized, operational vs historical), ELT, transformation, distribution, access layers for different types of technical access and entitlements. Building and enhancing our data platform includes applying data lake components with raw data, joined operational data, a warehouse for history and API, and an access layer, across on prem and cloud technologies and clients. In this role, you will be responsible for leading and providing best practices for the team managing the Data Platform on AWS for our Firm. You will work closely with the architect/business for gathering requirements and delivering. As a Lead Python Engineer, you will be:

• Working together with Engineering Managers and the rest of Leadership team in Poland and US

• Planning projects and successfully delivering them with the team

• Building data ingestion pipelines in the cloud and assisting in extending our AWS cloud offering

• Working extensively in Databricks platform and leveraging all of the Databricks features (pipelines, Unity Catalogue, streaming, etc)

• Improving excellence of the team, processes, and practices within the company

• Working with customers towards a project’s success

What’s required

The ideal candidate should be experienced in Python and AWS Cloud with good communication skills.

• Excellent Python and software craftsmanship skills (more than 3 years)

• Experience with working in microservices framework and event-driven architectures

• Experience with Spark (building scalable and maintainable pipelines in PySpark and Scala)

• Experience with Spark Streaming (building low latency pipelines)

• Experience with Delta format (opensource Delta Lake project)

• Experience with Kubernetes

• Experience with MongoDB

• Experience with AWS Cloud

• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Sports card

• Private life insurance

• Private medical and dental care, with vision allowance

• Private pension scheme

• Volunteer opportunities

• Support for employee-led affinity groups representing women, people of color and the LGBT+ community

• Business travel accident insurance

• Employee assistance program

• Educational assistance reimbursement

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here