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Data Engineer

Senior Mobile Engineer (Android / iOS, On-Device & SDK)

Digital Turbine

Warsawsenior

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Role description

At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.

Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered.

We’re always on the lookout for great engineering talent!

We want to learn about your passion and skills, and find the best match for you. Join our talent community by applying here, and let’s stay connected for active and future roles.

The Role

At Digital Turbine, we make mobile advertising and discovery experiences more meaningful for users, app publishers, and advertisers — intelligently connecting people across more devices than anyone else in our space. Our on-device footprint, Ignite, ships with hundreds of millions of devices through the world's leading OEMs and carriers, and is the foundation of our strategy to maximize the value of our on-device presence.

As a Senior Mobile Engineer, you'll build and harden the SDKs and on-device services that power app delivery, discovery, and monetization at carrier and OEM scale. This is a high-impact role on a small, autonomous team that owns its products end to end — from design through release, monitoring, and on-call. Your work directly supports our FY27 goals of reducing installation failures, enabling dynamic app delivery, and extending our on-device presence into alternative distribution.

About the Senior Mobile Engineer Role

  • Design, build, and maintain high-performance Android SDKs and on-device services (with iOS work as our cross-platform footprint grows), focusing on reliability, footprint, battery, and security
  • Drive down install and delivery failures — improving package-manager reliability, dynamic app-delivery (ASR), and recovery paths across a highly fragmented device and OS landscape
  • Partner with OEM and carrier integration teams to ship features that operate within tight platform, privacy, and resource constraints
  • Extend on-device surfaces that power alternative distribution and brand-on-device experiences, a key pillar of DT's FY27 roadmap
  • Own the full lifecycle of what you build: instrumentation, alerting, rollout strategy, A/B experimentation, and on-call for your services
  • Raise the bar on code quality through reviews, automated testing, and tooling, and mentor other engineers on mobile best practices

About You as the Senior Mobile Engineer

  • 8+ years building production mobile software, with deep expertise in Android (Kotlin/Java) and a working command of native internals; iOS (Swift/Objective-C) experience is a strong plus
  • Strong grasp of asynchronous programming, concurrency, memory and battery profiling, data structures, and mobile design patterns
  • Experience shipping SDKs, libraries, or framework-level code consumed by other developers — not just app features
  • A track record of operating what you build in production at scale, including monitoring, debugging field issues, and staged rollouts
  • Comfort working in a fast-paced, autonomous, outcome-oriented team that treats its product like a mini-startup

Nice to have

  • Experience with AdTech, mobile measurement/attribution, or on-device ML inference.
  • Familiarity with OEM/carrier pre-load constraints, Android system apps, or device-management contexts.
  • Exposure to alternative app stores or in-app purchase / payments flows.

About Digital Turbine:

Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.

The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets.

We are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn's Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode's 100 Best Companies to Work in 2024.

Digital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators.

Digital Turbine will process the information you provide during the application process in accordance with the Digital Turbine Global Recruitment Privacy Notice .

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Cloud Development Engineer - Global Banking & Markets - Vice President - Warsaw

Goldman Sachs

Warsawfulltime

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Role description

Job Description
What We Do
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more.

Cloud Platform
As a GBM (Global Banking & Markets) Cloud Engineer at Goldman Sachs, you will play a pivotal role in shaping the future of the GBM technology landscape. This is a unique opportunity to partner directly with core engineer and GBM engineering teams, architecting and delivering cloud-native solutions that power our most critical trading and financial systems. You will be instrumental in developing solutions for broad adoption across thousands of engineers in GBM.

You will join a multi-disciplinary team dedicated to researching, architecting, and building reusable cloud patterns. Your focus will be on enabling GBM teams to deploy and manage services in the public cloud with unparalleled safety, security, and efficiency. Given the extreme requirements of GBM – from ultra-low latency trading platforms to high-throughput data processing – you will be challenged to leverage and integrate best-of-breed cloud solutions and innovative architectural patterns. As we continue to modernize our services around cloud-native principles, you will directly contribute to a platform that empowers GBM engineers to innovate faster and deliver market-leading solutions.

Responsibilities And Qualifications
We are seeking highly collaborative, creative, technical and intellectually curious engineers who are passionate about developing and implementing cutting-edge cloud computing solutions tailored for the demanding environment of GBM. The ideal candidate will thrive in a dynamic DevOps culture, contributing to customer-centric product development that directly impacts our business. You will work closely with cross-functional teams, acting as a creative collaborator who can evolve, adapt to rapid change, and thrive in a fast-paced, global environment. Your ability to translate complex GBM requirements into scalable, secure, and performant cloud architectures will be key to your success

Key Responsibilities

  • Lead, mentor, and grow a team of talented cloud engineers, fostering a culture of technical excellence, collaboration and continuous learning.
  • Oversee the development and maintenance of a comprehensive set of ready-to-consume cloud patterns and solutions.
  • Partner with application development teams to facilitate the migration of existing applications and development of new cloud-native applications on public cloud platforms such as AWS and hybrid architectures.
  • Champion a frictionless and intuitive cloud onboarding experience for developers, accelerating their transition to public cloud.
  • Define and prioritize product feature requests that align with the firm’s business and engineering priorities.
  • Ensure all cloud patterns and solutions are built with a “security-first” mindset, adhering to the highest security standards and best practices.
  • Drive the implementation of architectural best practices and solutions that are highly available, resilient and scalable.
  • Collaborate with other platform teams and stakeholders to define the product’s roadmap and strategic vision.
  • Provide engineering leadership with regular insights into the progress of customer migrations, reporting on key wins and roadblocks.
  • Server as a key member of the customer advisory board to gather customer feedback on their cloud onboarding goals, challenges and feature requests.
  • Take an active role in cloud governance, ensuring that any application deployed to production meets the standards set by the firm and fulfills applicable regulatory requirements.

Basic Qualifications

  • Minimum of 10 yrs of relevant professional experience with deep expertise in public cloud services (preferably AWS).
  • Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience).
  • Proven experience as an Engineering Manager or a Senior Technical Lead, with a focus on cloud-native development or platform engineering.
  • Strong understanding of cloud architecture, microservices, and containerization (eg: Docker, Kubernetes).
  • Experience with building secure, highly available and scalable systems especially in a large, enterprise-level organization.
  • Experience with hybrid cloud solutions and integrating with on-premise systems.
  • Excellent leadership, communication and interpersonal skills.

About Goldman Sachs
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers .

We’re committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability\-statement.html

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Programista / Data Engineer (BI) (k/m) Lokalizacja: Aleje Stanów Zjednoczonych 61

Cyfrowy Polsat S.A.

Warsawfulltime

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Role description

Opis stanowiska
Dołączysz do zespołu Działu R&D, który współtworzy rozwiązania analityczne i backendowe dla największej internetowej telewizji w Polsce, należącej do wiodącej grupy medialno-telekomunikacyjnej w regionie. Pracujesz wśród entuzjastów programowania, w kulturze, w której każdy kod przechodzi obowiązkowe code review, a projekty prowadzimy metodami Agile.

Czym będziesz się zajmować
Tworzeniem wysokowydajnych rozwiązań analitycznych do zbierania i przetwarzania dużych wolumenów danych w czasie rzeczywistym oraz prezentowania ich na potrzeby biznesu.

Rozwojem usług backendowych i pipeline'ów danych zasilających analitykę i produkty medialne.

Współpracą z zespołem przy projektowaniu architektury i doborze narzędzi do nowych wyzwań.

Nasz stack technologiczny
Języki:
głównie Python 3.11+; korzystamy też z Javy (w skali całego pionu występują dodatkowo m.in. C#, Go, Ruby, JavaScript, Objective-C).

Dane / streaming:
Apache Big Data stack – Kafka, Flink, Spark, Druid, HBase, Hadoop; RabbitMQ.

Backend / API:
Flask, Django, Falcon.

Bazy i wyszukiwanie:
PostgreSQL, MongoDB, Elasticsearch.

Nasze oczekiwania
Czego oczekujemy
Bardzo dobrej znajomości Pythona, popartej komercyjnym doświadczeniem.

Znajomości Javy (na poziomie umożliwiającym rozwój i utrzymanie usług).

Pasji do technologii i chęci ciągłego samodoskonalenia – lubisz być na czasie z tym, co dzieje się w branży.

Umiejętności pisania testów i dbania o jakość kodu.

Dobrej komunikacji i umiejętności pracy w zespole.

Znajomości angielskiego na poziomie umożliwiającym czytanie i pisanie dokumentacji technicznej.

Mile widziane
Znajomość rozwiązań ML, w szczególności LLM, embeddings, vector search i RAG.

Znajomość naszego stacku technologicznego.

Doświadczenie w projektowaniu architektury aplikacji (np. SOA, mikroserwisy).

Doświadczenie w optymalizacji kodu i wydajności systemów przetwarzających duże wolumeny danych.

Otwartość na inne technologie i języki programowania.

Co oferujemy
Realny wpływ na produkty docierające do milionów użytkowników i pracę przy nietrywialnych wyzwaniach z zakresu przetwarzania danych.

Swobodę w wyborze środowiska pracy i narzędzi, w których tworzysz kod.

Pakiet benefitów: Luxmed, Multisport oraz korzystne ubezpieczenie grupowe.

Dofinansowanie do nauki języka angielskiego.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Cloud Data Engineer (f/m/x)

Sii Poland

Katowice

Apply on the employer's site

Role description

Do you want to develop your skills in cloud technologies? Join our specialized unit of experts in data processing and analysis within the Data & Analytics Competency Center. We also offer development opportunities in Data Science, Big Data, and Machine Learning.

Your tasks

  • Designing, building, and developing scalable and high-performance data processing platforms in Data Lake / Data Platform architecture
  • Creating and maintaining ETL/ELT pipelines to integrate data from various sources and process it in Azure Databricks environment
  • Data modeling and preparing data structures tailored to analytical and business needs
  • Implementing data processing solutions (batch and/or near real-time)
  • Monitoring, optimizing, and developing existing pipelines and data processing workflows
  • Collaborating with data analysts, BI teams, and Data Science teams to prepare and provide data
  • Gathering business requirements and proposing optimal technological solutions
  • Creating and maintaining technical documentation for developed solutions
  • Supporting and mentoring less experienced team members, sharing knowledge and best practices

Requirements

  • Minimum 4 years of experience in projects related to processing and integrating large volumes of data
  • Strong knowledge of SQL and Python
  • Experience working with data processing frameworks such as Apache Spark / PySpark
  • Practical experience in designing and building Data Lake and Data Warehouse solutions
  • Ability to build and maintain ETL/ELT pipelines and work with data orchestration and integration tools
  • Commercial experience in Microsoft Azure cloud-based data processing projects (e.g., Databricks, Azure Data Factory, Synapse, Fabric)
  • Knowledge of data processing concepts in distributed environments and pipeline optimization
  • Fluent communication skills in English
  • Fluent Polish language proficiency required
  • Must be located in Poland

Nice to have

  • Experience in data migration projects from on-premise to cloud (databases: Oracle, PostgreSQL, MS SQL)

Job no. JOB-QAKZG

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You

  • Great Place to Work
  • Solid financial situation
  • Contracts with the biggest brands
  • Centre of internal trainings
  • Many experts you can learn from
  • Open and accessible management team
  • Profit sharing
  • Passion Sponsorship program
  • Regular integration events and trips
  • Comfortable and well-equipped offices
  • MySii app
  • Medical care

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Senior Data Warehouse Modeller

Kingfisher plc

Krakowsenior

Apply on the employer's site

Role description

We’re Kingfisher, a team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: Castorama, B&Q, Screwfix, Brico Dépôt and Koçtaş - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in.

At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation

.

We are open to flexible and agile working. Therefore, we offer colleagues a blend of working from home and our office, located in Kraków. Talk to us about how we can best support yo

u!At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles, even if you do not feel you meet 100% of the requirement

s.

In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best se

**lf.

We also offer a competitive benefit package and plenty of opportunities to stretch and grow your car**

  • eer:

23,000 - 28,000 PLN gross per month on an employment con

  • tractPrivate medical healthcare at LUXMED (including dentalcare) for you and your f
  • amilyMedicover sports card (Fit&More pac
  • kage)Life insurance financed by the emp
  • loyer30-minute lunch break included in the 8-hour workin
  • g dayWork in a highly professional and stimulating atmos
  • phereTraining & Buddy programme that will allow you to quickly adapt to your new
  • roleWellbeing programme for empl
  • oyeesCo-financing of monthly tickets for the public transport in K
  • rakowComfortable working environment in the office and the possibility of home o
  • fficeLanguage courses, accounting courses, access to LinkedIn Learning and the possibility of co-financing studies and certific
  • ationEmployee referral prog

**ramme

Role Pur**

pose:

The Senior Data Designer role supports the business by deciding what data should be ingested from source systems into the Enterprise Data Warehouse, and how this data should be transformed to make it suitable for consumption in reporting or other downstream s

ystems.

The role is accountable for: analysing and documenting source systems’ data as needed to meet the business requirements; determining the method and frequency for ingesting the data into the data warehouse; defining and documenting any data mapping, harmonisation, derivations, calculations, or other transformations required to make the data easy to use by the business; ensuring that the target data model is coherent and works in conjunction with the other data models in the data wa

**rehouse.

Responsib**

ilities:

•Designing data warehouse solutions driven by busine

ss demand.•Understanding difficult solution requirements, working with the business to clarify them if

necessary.•Identifying and documenting the possible data sources that may be required and analyse/profile the data they contain; working with the source system and/or business experts to understand how the business processes create and up

date data.•Creating and maintaining logical and physical data models for the data warehouse solutions, working with the Platform Data Architect to ensure they fit with the data roadmap and p

rinciples.•Creating and updating source to target data mappings, defining transformations and calculations, and capturing metadata (e.g. attribute definitions, datatypes, PII classification, etc.) working with the Platform Principal Data Designer to make sure they are in line with our principles and co

nventions.•Supporting Data Engineers in the implementation of th

e designs.•Supporting Quality Engineers in the testing of the data warehous

e objects.•Providing guidance to junior members of the team on data modelling and/or technical best

practices.•Supporting the wider team with other ad-hoc design or anal

**ysis work.

Requir**

ed Skills:

•Intermediate-level SQL querying, including dat

a profiling.•Strong attentio

n to detail.•A proactive and curi

ous mindset.•A collaborative appro

ach to work.•2 years experience as a data modeller or 5 years experience of working with data in data

warehouses.•Data quality management

**experience.

Desirabl**

e Experience:

•Experience of non-tabular data and event-based da

ta processing.•Understanding of data lifecyc

le management.•Experience of working with data

in Databricks.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

294 more openings in this category and country

Senior Mobile Engineer (Android / iOS, On-Device & SDK)Digital Turbine · Poland

Apply on the employer's site