Lead Data Software Engineer (Java)

Description & Requirements
Who we are looking for
Join Deloitte Digital's Customer Data team and help global brands build a unified Customer 360 view and unlock data-driven customer experiences across sales, service, marketing, and digital channels.

We're looking for developers who want to combine hands-on technical skills with creative problem solving to shape the future of customer data and engagement.

Who we are looking for
:

• Proven experience with
  Salesforce Data Cloud
  OR a strong background in
  Cloud Data Engineering
  (AWS, Azure, GCP) with a desire to cross-train into the Salesforce ecosystem
• Strong proficiency in
  SQL
  is a must
• Experience with
  Python
  or other scripting languages for data transformation
• Understanding of technical concepts such as
  API integrations
  ,
  ETL
  processes,
  data modeling
  , and
  solution architecture
• Experience working with
  Customer Data Platforms (CDP)
  and customer data domains, including identity resolution, audience segmentation, and unified customer profiles
• Understanding of
  Customer 360 concepts
  , including data unification, identity resolution, segmentation, activation, and customer profile management
• Knowledge of
  Salesforce ecosystem
  technologies
• Proactive
  personality with an analytical mindset, able to derive insights and propose solutions based on client requirements
• Business Analysis
  – ability to gather, analyze, and translate business requirements into functional specifications
• Client-facing experience
  – ability to interact with clients to discuss requirements and present solutions
• Very good written and spoken
  English
  , with the ability to present technical solutions to non-technical stakeholders
• EU citizenship or valid work permit to work in Poland is required

Nice to have:

• Familiarity with other Salesforce Clouds, such as Marketing Cloud, Service Cloud, or Sales Cloud
• Experience with
  Tableau
  , including data visualization, dashboard creation, and business reporting
• Experience with other data visualization tools such as
  Power BI
• Understanding of modern
  customer data
  and
  marketing technologies
  , especially Customer Data Platforms
• Experience consolidating data from disparate sources (Web, Mobile, CRM, Commerce) into a unified customer profile
• Experience with
  Salesforce Data Cloud
  concepts such as Data Streams, Data Model Objects (DMOs), Identity Resolution, Calculated Insights, Segments, and Activation
• Salesforce certifications
  (e.g., Salesforce Data Cloud Consultant, Salesforce Marketing Cloud Developer, Tableau Certified Professional, etc.)
• Prior experience working in a consulting environment

Your future role

• As a
  Salesforce Data 360 Engineer
  , you will help international clients build a unified customer data foundation using Salesforce Data Cloud. You will design and implement customer data solutions, configure data streams, establish identity resolution frameworks, and develop calculated insights that enable a complete and actionable Customer 360 view.
• You will work with diverse customer data sources, including CRM, web, mobile, commerce, and external data platforms. Using
  Salesforce Data Cloud, APIs, connectors, SQL
  , and
  Python-based transformations
  , you will design scalable architectures that support customer unification, segmentation, activation, and analytics use cases.
• You will be responsible for data modeling, data quality, integration monitoring, and optimization of customer data solutions, ensuring scalability, reliability, and alignment with business objectives.
• You will support the integration of
  Salesforce Data Cloud
  with platforms such as
  Snowflake, AWS, Google BigQuery, CRM systems
  , and
  customer-facing applications
  , enabling seamless data ingestion and activation across the customer ecosystem.
• You will continuously expand your expertise across the
  Salesforce ecosystem
  , including
  Data Cloud, Marketing Cloud, Tableau,
  and
  Einstein AI,
  with the opportunity to grow toward a
  Customer Data Architect
  role.
• Collaboration will be central to your daily work. You will work within agile, cross-functional teams alongside consultants, analysts, strategists, and architects, contributing your technical expertise to deliver measurable value within our clients’ digital transformation initiatives.

What we offer

• At Deloitte Digital, you will have the opportunity to participate in flagship MarTechprojects for some of the world’s most recognized brands.
• You will work on solutions that address today’s priorities - such as data integrations, analytics, and platform customizations - while at the same time gaining skills that are becoming increasingly important for the future, including AI-driven automation, real-time data activation, and advanced personalization.
• You will join a
  large and rapidly growing Customer Data team
  that works with some of the world’s most recognized brands. You will gain exposure to
  enterprise-level projects
  that combine strategy, creativity, and cutting-edge technology. From your first projects, you will be part of a collaborative culture that values accountability, innovation, and knowledge sharing.
• You will be encouraged to take ownership of your career path and grow into roles such as
  Technical Architect or Tech Lead
  . We are looking for people who combine technical expertise with strong communication skills, entrepreneurial drive, and the ambition to shape how Deloitte Digital evolves in the marketing technology space.
• You will have access to certifications, continuous training, and a collaborative environment that values accountability, innovation, and knowledge sharing. Most importantly, you will play a role in helping businesses rethink how they engage their customers, driving both growth and smarter marketing through the best application of technology.

Selection process
What you only must do is to take the first step - press the apply button and send us your CV, go through all the stages of the recruitment process:

• Application and CV review
• Online test
• Technical interview
• Interview with our manager

Then, last thing to do will be to sign a contract with us. Deloitte is simply your best choice.

About Deloitte
In Deloitte we support leading global organizations in optimizing and transforming their organizations. This also relates to their finance function. Our consultants offer insights, capabilities, and solutions that change the way these organizations operate and make people-related decisions.

We are currently building in Poland a dedicated team which will focus on advisory in the area of Finance & Performance. The Team will advise our Clients in complex issues relating to i.a. Reporting, Budgeting, Controlling processes. We are looking for high-energy, committed and ambitious people to join our advisory practice. Next to advising on most sophisticated and challenging issues relating to the above mentioned areas, our Consulting professionals will also advise on potential solutions leading to optimisation of the above mentioned processes. This will also include applying the newest technologies.

Are you ready to join our team and help our clients imagine, deliver, and run their future?

Platforma zarządzania flotą robotów intralogistycznych potrzebuje solidnej warstwy danych i infrastruktury. Poszukujemy inżyniera, który ogarnia równie sprawnie bazę danych jak pipeline CI/CD - i rozumie, że w systemach czasu rzeczywistego infrastruktura jest równie krytyczna jak kod.

Zakres obowiązków

• Redis - dane live i messaging Projektowanie i utrzymanie struktur Redis dla wysokoczęstotliwościowego stanu live floty robotów; implementacja Pub/Sub i Streams do dystrybucji telemetrii; monitorowanie i optymalizacja wydajności.
• PostgreSQL - dane trwałe Projektowanie schematu baz danych: mapy, roboty, użytkownicy, logi audytowe; tworzenie i zarządzanie migracjami, indeksami i strategiami partycjonowania; backup i disaster recovery.
• Edge i sieć Konfiguracja i utrzymanie Nginx jako reverse proxy, load balancera i serwera WWW; zarządzanie ruchem między serwisami flotowymi - routing, TLS, rate limiting.
• Pakowanie i wdrożenia Konteneryzacja i orkiestracja komponentów C++, Python i baz danych w Dockerze i Kubernetes; budowa i utrzymanie pipeline'ów CI/CD; zarządzanie środowiskami dev / staging / produkcja.

Tech Stack

• In-memory / Messaging Redis (Pub/Sub, Streams)
• Relational PostgreSQL (migrations, indexing)
• Networking Nginx (reverse proxy, load balancer)
• Containers & CI/CD Docker, Kubernetes, CI/CD

Wymagania kluczowe

• Redis - ekspert Wysokoczęstotliwościowy live state, Pub/Sub messaging i strumieniowanie telemetrii - produkcyjne doświadczenie
• PostgreSQL - ekspert Projektowanie schematu, optymalizacja zapytań, migracje i indeksowanie
• Nginx Głęboka znajomość Nginx jako reverse proxy, load balancera i serwera WWW w środowiskach produkcyjnych
• Docker | Kubernetes | CI/CD Konteneryzacja i orkiestracja złożonych stacków (C++, Python, bazy danych) oraz automatyzacja wdrożeń

Mile widziane

• Doświadczenie z systemami telemetrii i strumieniowania danych czasu rzeczywistego (Redis Streams, Kafka, NATS)
• Znajomość narzędzi observability: Prometheus, Grafana, OpenTelemetry, Loki
• Znajomość zagadnień bezpieczeństwa infrastruktury: sieć, TLS, secrets management (Vault)
• Doświadczenie z systemami edge computing lub wdrożeniami w środowiskach przemysłowych / on-premise
• Znajomość języka angielskiego na poziomie B2+ (dokumentacja techniczna, współpraca z zespołem)

Co oferujemy

• Praca nad infrastrukturą systemu fleet management czasu rzeczywistego - nie standardowy CRUD stack
• Współpraca z zespołami C++ i Python budującymi platformę robotyczną nowej generacji
• Konkurencyjne wynagrodzenie dostosowane do poziomu doświadczenia i kompetencji
• Stabilna umowa o pracę - pełny etat
• Elastyczny model hybrydowy
• Prywatna opieka medyczna i ubezpieczenie na życie
• Pełna odpowiedzialność za warstwę danych i infrastrukturę - realne decyzje architektoniczne
• Dostęp do konferencji i szkoleń z obszaru DevOps, data engineering i systemów rozproszonych

Jak będzie wyglądać proces rekrutacji

• Aplikacja – po otrzymaniu CV wracamy z informacją zwrotną
• Rozmowa wstępna (HR) – wzajemne poznanie i omówienie oczekiwań
• Rozmowa techniczna – sprawdzenie kompetencji i doświadczenia projektowego
• Decyzja i formalności – jasne warunki i szybkie domknięcie procesu

Dołącz do zespołu, który tworzy przyszłość intralogistyki!
Pod marką A1 Sorter tworzymy
innowacyjne urządzenia automatyki magazynowej
. Nasze logo znajdziesz na sorterach, przenośnikach, windach magazynowych, systemach specjalistycznych, stołach do kompletacji zamówień i wielu innych akcesoriach. Dynamicznie rozwijamy się na rynkach europejskich, współpracując z liderami branży logistyki magazynowej. Stawiamy na
innowacyjność
,
efektywność
opartą na komponentach od światowych liderów oraz
elastyczne podejście
do potrzeb klientów.

Praca w A1 Sorter to nie tylko możliwość rozwoju zawodowego, ale także szansa na udział w tworzeniu nowoczesnych rozwiązań, które mają realny wpływ na efektywność procesów logistycznych. Nasze innowacyjne podejście i elastyczność w działaniu sprawiają, że jesteśmy liderem w branży. Dołączając do nas, stajesz się częścią zespołu, który ceni
kreatywność
,
zaangażowanie
i
współpracę
.

Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.

Papaya Global is looking for an excellent
DevOps Engineer
to join our growing team! You will be responsible for the development and production environments, working with the R&D teams using cutting-edge technology over AWS Cloud. You will also design, implement and maintain infrastructure, efficient CI/CD pipelines, serverless services, and Docker containers.

The DevOps Engineer will provide a technical vision to Papaya Global cloud infrastructure, promote and implement cloud security best practices, identify inefficiencies in the engineering processes, and solve them using automation.

You will:

• Design and implement Papaya Global's cloud infrastructure across development, testing, and production environments on AWS
• Ensure our production environment maintains the highest standards of stability, availability, and performance
• Review the current automation strategy partnering with stakeholders to implement a holistic, scalable solution that supports our multi-year growth trajectory
• Work with the Information Security team to improve security, enhance data isolation, access controls and network/application security across our infrastructure.
• Work closely with the R&D department in Poland, India & Israel.
• Leverage AI-powered engineering and DevOps tools to improve scripting, infrastructure automation, troubleshooting, observability, CI/CD optimization, and operational efficiency across cloud and production environments

Requirements:

• 3+ years of experience as a DevOps engineer
• 3+ years of experience with AWS
• Experience with K8S and Microservices
• Experience with Github Actions for CI/CD Pipelines
• Proven experience with Terraform & Terragrunt for IAC
• Experience with GitOps workflows and tools
• Experience leveraging AI tools for DevOps automation and optimization.
• Strong AWS networking knowledge: VPCs, subnets, security groups, and troubleshooting
• Track record of successful cross-team collaboration on company-wide initiatives (automation, security, migrations, monitoring)
• Experience implementing and maintaining secure AWS environments
• Strong problem-solving abilities with attention to detail
• Collaborative team player who thrives working independently

Nice to have:

• AWS certifications (Solutions Architect, DevOps Engineer)
• Experience working with AWS Bedrock.
• Large-scale cloud environment experience (multi-region, high-availability)
• Demonstrated ability to develop and maintain custom GitHub Actions using JavaScript/Node.js

We are seeking a skilled
Software Engineer
with a deep, practical focus on
Bazel
to join our project team in building and scaling a modern, comprehensive internal developer platform. In this role, you will play a key part in designing, optimizing, and maintaining advanced build infrastructure and automation pipelines that support the full software development lifecycle.

While backend experience in C++ or Go is required,
hands-on expertise with Bazel is the absolute core requirement for this position.
Responsibilities

• Design, implement, and maintain scalable build systems using Bazel.
• Optimize build performance, cache efficiency, and CI/CD pipeline execution times.
• Develop custom developer tooling, automation scripts, and internal platform integrations.
• Collaborate with engineering teams to migrate existing codebases/build workflows to Bazel.
• Troubleshoot complex build, compilation, and dependency management issues across distributed environments.

Requirements

• Strong, practical experience with Bazel (configuring build targets, rules, dependencies, and caching).
• Solid engineering background in C++ or Go (Golang).
• Hands-on experience with CI/CD pipelines and build automation tools.
• Good understanding of modern software development infrastructure, containerization (Docker), and developer workflows.
• Strong analytical and troubleshooting skills with a focus on system performance and build optimization.
• Good communication skills in English.

Nice to have

• Experience writing custom Bazel rules (Starlark).
• Background in building internal developer platforms or core infrastructure tooling.
• Familiarity with both C++ and Go ecosystems.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.