Jobs Data Engineer

We are looking for a Senior Data Engineer to join a project in the tech capital of the world – Silicon Valley.

Project Idea

The project was founded back in 2014 with the goal of connecting private and government universities with regular people like we are. You have a variety of auditoriums, gyms, classrooms, and other venue options available for community use –
schedule facility uses and manage requests from the community all in one place.

Just imagine that you’re a football player and you can rent a football field at Harvard to play with your friends. Amazing, right?

Must have:

• 4+ years of experience in Data Engineering or related roles;
• Strong SQL skills and hands-on experience with PostgreSQL (including Aurora Serverless);
• Solid knowledge of Python for data processing and automation;
• Experience building and maintaining ETL/ELT pipelines using cloud-native tools (e.g., AWS Lambda, S3, SQS);
• Proven experience working with MongoDB and MongoDB Atlas, including event-driven architectures using Atlas Triggers, Stream Processing;
• Proficiency with dbt for building modular, testable, and well-documented data transformation workflows;
• Good understanding of data modeling principles for OLAP/OLTP systems, including normalization and dimensional modeling;
• Demonstrated experience designing and implementing data warehouses and data marts;
• Working knowledge of Node.js, particularly in backend logic tied to data ingestion or transformation workflows;
• Familiarity with cloud data platforms (e.g., AWS) and serverless computing patterns;
• A technical degree (e.g., Computer Science, Engineering, Math) is a plus;
• Upper-Intermediate English or higher for effective communication and documentation.

Soft skills:

• Proactive – you take ownership and act without waiting for direction;
• Detail-oriented – you deliver accurate, high-quality work;
• Initiative-driven – you’re eager to improve processes and take action.

Responsibilities:

• Design, implement, and maintain scalable and reliable data pipelines using Python, dbt, and AWS Lambda;
• Build and optimize data architectures to support analytics, reporting, and machine learning use cases, including data warehouse and data mart modeling on PostgreSQL (Aurora Serverless);
• Develop and manage ELT workflows that extract data from MongoDB (using Atlas triggers) and load into staging and production layers in PostgreSQL;
• Ensure data consistency and lineage by applying robust data quality checks, auditing, and reconciliation logic;
• Collaborate with cross-functional teams to gather data requirements, understand business logic, and translate them into efficient data models and transformations;
• Monitor and troubleshoot SQS/Lambda-based ingestion pipelines, addressing issues related to concurrency, message processing, and data duplication;
• Contribute to the semantic layer design used by BI and reporting tools to ensure consistency and accessibility of business metrics;
• Maintain and evolve dbt models (staging, intermediate, and marts) aligned with software engineering and analytics best practices;
• Drive continuous improvement in data engineering processes and data governance standards, ensuring scalability, maintainability, and security.

Job Description 

We are seeking a Middle Multimedia Engineer to join our engineering team working on advanced audio/video streaming solutions for embedded platforms. The ideal candidate will have strong hands-on experience with GStreamer and a deep understanding of multimedia systems, media pipelines, and streaming technologies. 

Technical Requirements 

• 6+ years of software development experience in multimedia or system-level environments 
• Good hands-on experience with GStreamer (must-have): 
  • building and debugging media pipelines 
  • working with elements, pads, caps, plugins 
  • troubleshooting latency, synchronization, and performance issues 
• Strong programming skills in C++ OR Java (must-have) for system-level or multimedia applications 
• Strong understanding of audio & video streaming technologies and protocols (RTP, RTSP) (must-have) 
• Experience with video/audio codecs (H.264, H.265, VP9, AAC, Opus) 
• Experience with Video4Linux (V4L2) 
• Hands-on experience with Embedded Linux OR Embedded Android (must-have) 
• Understanding of networking fundamentals: TCP, UDP, HTTP 
• Ability to troubleshoot across software layers (middleware, OS, hardware interaction) 
• Experience with Git (version control systems) 
• Excellent problem-solving, critical thinking, communication skills 

Nice to Have 

• Experience with Embedded Android OR Android BSP (AOSP) 
• Familiarity with multimedia systems: 
  • Android Audio OR SurfaceFlinger 
  • ffmpeg, VAAPI, OpenMAX, OpenGL 
• Experience with WebRTC 
• Experience with camera integration OR camera subsystem customization 
• Knowledge of hardware-accelerated media pipelines 
• Scripting experience (Bash OR Python) 

Responsibilities 

• Design, develop, and maintain multimedia middleware components 
• Build, integrate, and optimize GStreamer-based audio/video pipelines. Integrate media components with user-space applications and system services 
• Debug and resolve complex media issues related to performance, stability, and synchronization 
• Drive technical discussions and contribute to architecture decisions 
• Collaborate with hardware, platform, and application teams 
• Support board bring-up and hardware validation related to audio/video subsystems 

Are you passionate about building scalable, reliable data systems that power real-world solutions? We are looking for a Senior Data Engineer to join our team and work remotely from Europe, Ukraine, or LATAM.

At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.

Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.

Customer

Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.

Project

The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.

Key Technologies: Java, Scala, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures

Responsibilities

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems
• Implement integrations using Java or Scala, ensuring scalability and resilience
• Handle both full data loads and incremental updates efficiently
• Collaborate with engineering and product teams to align on integration and data needs
• Develop and maintain a unified internal data model
• Ensure data quality, detect and resolve incorrect or incomplete data
• Utilize AI-assisted tools to improve data quality and operational efficiency
• Monitor and optimize data pipelines for production readiness

Requirements

• At least 5 years of experience as a Data Engineer or Backend/Data Engineer
• Strong production experience with Java or Scala
• Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
• Strong data modelling skills with structured, relational data
• Solid SQL knowledge
• Experience with GCP Dataflow
• Experience operating data pipelines in production environments
• Strong communication skills and ability to collaborate across teams
• At least an Upper Intermediate level of English

WILL BE A PLUS:

• Experience with event-driven architectures or messaging systems
• Designing canonical schemas across multiple data sources
• Experience with LLM (Large Language Models)

Personal Profile

• Proactive and detail-oriented
• Thrives in collaborative environments
• Enjoys solving complex integration challenges
• Comfortable experimenting with new technologies
• Committed to improving data systems

We are looking for an experienced Data Engineer to join a long-term B2C project. The main focus is on building Zero ETL pipelines, as well as maintaining and improving existing ones.

Responsibilities:
- Build and maintain scalable Zero ETL pipelines.
- Design and optimize data warehouses and data lakes on AWS (Glue, Firehose, Lambda, SageMaker).
- Work with structured and unstructured data, ensuring quality and accuracy.
- Optimize query performance and data processing workflows (Spark, SQL, Python).
- Collaborate with engineers, analysts, and business stakeholders to deliver data-driven solutions.

Requirements:
- 5+ years of experience in Data Engineering.
- Advanced proficiency in Spark, Python, SQL.
- Expertise with AWS Glue, Firehose, Lambda, SageMaker.
- Experience with ETL tools (dbt, Airflow etc.).
- Background in B2C companies is preferred.
- JavaScript and Data Science knowledge are a plus.
- Degree in Computer Science (preferred, not mandatory).

We offer:
1) Paid vacation and sick leave 

2)We provide the equipment you need to work comfortably (if required)

3)We cover 50% of courses if you want to grow professionally 

4)Regular salary reviews based on your performance 

5) Competitive salary, depending on your experience 

6) Always on-time payments — no delays 

7)A normal, supportive team without unnecessary bureaucracy 
 

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

Requirements:
• 3+ years of hands-on experience in data engineering;
• 3+ years of commercial experience with Python;
• Advanced experience with SQL DBs (optimisations, monitoring, etc.);
• Advanced experience with PySpark;
• Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
• Familiar with AWS infrastructure (boto3, S3 buckets, etc);
• Experience working with large volumes of data;
• Understanding the principles of medallion architecture.

Responsibilities:
• Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
• Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
• Proactively identify bottlenecks and suggest technical improvements.

Nice to have:

• Cassandra/Scylla

• PostgreSQL

• Pandas

• Experience with Kafka and Redis

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Project Description:

We are seeking an RPA Developer for our client to join a multidisciplinary team that includes frontend and backend developers, data engineers, data scientists, QA engineers, cloud engineers, and project managers. The ideal candidate is a strong problem solver who can work independently in a fast-paced, evolving environment. Experience with Power Automate Desktop and the broader Power Platform is highly desirable, along with familiarity with Blue Prism. A working knowledge of Python and SQL is required—while deep expertise is not necessary, these technologies should be well understood and not new to the candidate.

Responsibilities:

• Design, develop, and deploy RPA solutions using Power Automate and Blue Prism
• Implement and configure RPA software robots to execute tasks and streamline processes
• Collaborate with cross-functional teams to integrate RPA solutions with existing systems and applications.
• Troubleshoot and resolve issues related to RPA processes and bots in a timely manner.
• Conduct unit testing and validation of RPA solutions to ensure accuracy and reliability.
• Stay updated on the latest RPA trends, tools, and best practices.

Mandatory Skills Description:

• Overall experience in a related field of more than 7 years
• Bachelor's degree in Computer Science or a related field.
• 2y+ experience with Power Automate Desktop
• Familiarity with Power Platform in general
• Familiarity with RPA concepts and tools (advantage if Blue Prism)
• Python programming skills
• Proficient with SQL
• Proficient with Python or C#
• Excellent problem-solving and troubleshooting skills.
• Effective communication and collaboration skills.
• Proactive attitude and a willingness to learn and adapt in a fast-paced environment.

Nice-to-Have Skills Description:

• Experience with performance testing and profiling
• Experience integrating with cloud infrastructure platforms, in particular Microsoft Azure
• Understanding of Financial Mathematics

Languages:

English: B2 Upper Intermediate

Looking for DevOps Engineer with French (B1+) language skills for an international project.
Work with cloud-native infrastructure on Microsoft Azure and Kubernetes, supporting CI/CD, monitoring, automation, and AI integrations.

Requirements: 5+ years of DevOps/Cloud Engineering experience, strong Azure and Kubernetes expertise, experience with GitLab, Prometheus/Grafana, ELK, NGINX/HAProxy/IIS, and scripting (Bash, PowerShell, Python).

Full remote, full-time, 7+ months project with possible extension.
English — B1+, French — B1+

Senior Data Engineer (Palantir Certified) – Europe
Location Europe (remote or hybrid, EU time zones)

About the Role
We are looking for a Senior Data Engineer certified in Palantir (Foundry) to design, build, and operate scalable data platforms supporting analytics, operations, and data-driven decision-making. You will work on complex, production-grade data systems and collaborate closely with product, analytics, and engineering teams in a highly data-centric environment.

This role requires hands-on experience with Palantir Foundry and the ability to translate business requirements into robust, scalable data solutions.

Responsibilities
- Design, build, and maintain end-to-end data pipelines using Palantir Foundry

- Develop and manage data models, transformations, and workflows within Foundry

- Integrate data from multiple sources (APIs, databases, files, event streams)

- Ensure data quality, reliability, security, and governance across data products

- Optimize performance and scalability of data pipelines and analytics workloads

- Collaborate with product managers, analysts, and stakeholders to translate business needs into data solutions

- Support analytics, reporting, and advanced use cases (including ML/AI where applicable)

- Contribute to best practices, documentation, and data platform standards

Requirements (Must-Have)
- Senior-level experience as a Data Engineer (5+ years)

- Palantir certification (Foundry)

- Strong hands-on experience working with Palantir Foundry in production

- Excellent proficiency in Python and SQL

- Experience building and operating cloud-based data platforms

- Solid understanding of data modeling, ETL/ELT, and data warehousing concepts

- Strong focus on data quality, governance, and security

- Experience working in Agile, cross-functional teams

- Professional working proficiency in English

- Must be located in Europe

Nice to Have
- Experience with cloud platforms (AWS, Azure, or GCP)

- Exposure to analytics engineering or data product development

- Experience working in regulated or enterprise environments

- Familiarity with CI/CD and infrastructure-as-code concep

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data.
This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.
At Sigma Software, we value expertise, creativity, and collaboration. Why join us? You will work with advanced technologies, contribute to mission-critical projects, and be part of a company recognized for excellence and innovation.

CUSTOMER
Our customer operates in the AdTech industry, delivering advanced technology solutions that optimize advertising performance and audience targeting. While the name is confidential, the organization is known for leveraging cutting-edge AI and data-driven strategies to enhance campaign effectiveness and deliver measurable business impact.

PROJECT
We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects.

Responsibilities

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments
• Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
• Implement AI agents and multi-agent orchestration workflows
• Design and improve RAG-based architectures and semantic retrieval pipelines
• Develop graph-based knowledge representation and traceability analysis solutions
• Work with graph databases, graph processing libraries, and semantic relationship modeling
• Build and optimize distributed data processing workflows using Apache Spark
• Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services
• Design scalable and high-performance APIs and backend services
• Improve system reliability, scalability, observability, and performance across distributed environments
• Participate in architecture discussions and technical decision-making processes
• Contribute to cloud-native infrastructure and deployment workflows
• Support deployments in secure, air-gapped, or classified environments when required
• Create and maintain technical documentation and engineering best practices

Qualifications

• At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development
• Strong production experience with Go, Rust, or Scala
• Hands-on experience building distributed and scalable systems
• Practical experience with LLM-based applications and AI integrations
• Experience building AI agents and multi-agent systems
• Strong understanding of RAG architectures and semantic retrieval workflows
• Hands-on experience with graph technologies, graph libraries, or graph databases
• Experience with Apache Spark and distributed data processing
• Strong understanding of ETL pipelines and large-scale data ingestion workflows
• Experience with cloud-native infrastructure and distributed environments
• Practical experience with backend platform development and API integrations
• Good understanding of semantic search, entity resolution, and metadata extraction
• Experience working with highly scalable and high-performance systems
• Strong problem-solving and communication skills
• Upper-Intermediate level of English

WILL BE A PLUS

• Background in Data Engineering
• Experience with Knowledge Graphs and graph-based semantic modeling
• Familiarity with MBSE or SysML environments
• Experience supporting air-gapped or classified environments
• Experience with vector databases and embedding pipelines
• Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure

Additional information

PERSONAL PROFILE

• Analytical mindset with strong problem-solving skills
• Ability to work independently and in a distributed team
• Adaptability to secure and classified environments
• Strong communication and collaboration abilities
• Passion for AI-driven engineering solutions

🚀We are looking for a Middle+/Senior Data Engineer to join a long-term data platform project. The role is focused on building, maintaining, and optimizing scalable data pipelines, data warehouses, and cloud-based data platforms for high-load business environments.

The ideal candidate has strong hands-on experience with Python, SQL, Spark/PySpark, cloud data services, and modern ETL/ELT pipelines. Experience with AWS is highly important, while Databricks, Snowflake, BigQuery, dbt, Airflow, Kafka/Kinesis, and Terraform are strong advantages.

🧩Responsibilities:

• Design, build, and maintain scalable batch and near-real-time data pipelines.
• Develop and optimize ETL/ELT workflows using Python, SQL, Spark/PySpark, Airflow, dbt, or similar tools.
• Work with cloud-based data platforms and services, especially AWS.
• Build and support data lakes, lakehouse architectures, and data warehouses.
• Integrate data from APIs, databases, SaaS tools, files, and streaming/event-based sources.
• Optimize data processing performance, query execution, partitioning, and storage costs.
• Ensure data quality, reliability, monitoring, logging, and validation across pipelines.
• Collaborate with engineers, analysts, BI teams, data scientists, and business stakeholders.
• Support documentation, data modeling, and data dictionary creation where needed.
• Contribute to CI/CD, infrastructure automation, and cloud data platform improvements.

🔑Requirements:

• 3-5 years of experience in Data Engineering or closely related roles.
• Strong hands-on experience with Python, SQL, and Spark/PySpark.
• Experience building and maintaining production-grade ETL/ELT pipelines.
• Strong understanding of data warehouses, data lakes, lakehouse architectures, and data modeling.
• Experience with AWS data services such as S3, Glue, Lambda, Athena, EMR, Redshift, Firehose, Kinesis, SQS, or EventBridge.
• Experience with orchestration and transformation tools such as Airflow, dbt, Prefect, Dagster, or similar.
• Experience with at least one modern data platform: Databricks, Snowflake, BigQuery, Redshift, or similar.
• Understanding of data quality, monitoring, observability, and performance optimization.
• Experience with Git, CI/CD, Docker, Terraform, AWS CDK, or other DevOps/IaC tools.
• Ability to work independently, communicate clearly, and take ownership of delivery.

• English level: Upper-Intermediate or higher.

   

🧩Nice to Have:

• Experience with Kafka, Kinesis, Pub/Sub, or other streaming/event-driven technologies.
• Experience with Delta Lake, Iceberg, Hudi, or other lakehouse table formats.
• Experience with Kubernetes.
• Experience in high-load, fintech, healthcare, telecom, eCommerce, SaaS, or analytics-heavy products.
• Experience with BI/reporting tools such as Tableau, Looker, Metabase, Power BI, or similar.
• Exposure to AI/ML or LLM-related data workflows.
• Experience with GCP or Azure data services.

🎯We Offer: 

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

We’re looking for a DevOps Engineer who enjoys building reliable infrastructure, automating processes, and solving real production challenges.

You’ll work on modern cloud-based products, influence infrastructure decisions, and collaborate with a strong engineering team using a modern DevOps stack.

What we expect

• 4+ years of commercial DevOps experience
• Strong AWS expertise
• Hands-on experience with Kubernetes, Docker, Terraform
• Experience with CI/CD (GitLab CI / GitHub Actions)
• Solid Linux administration skills
• Understanding of networking, DNS, SSL, IAM

• Upper-Intermediate English

   

What you’ll do

• Build and maintain scalable cloud infrastructure
• Improve and automate CI/CD pipelines
• Support Kubernetes and containerized environments
• Monitor, troubleshoot, and optimize production systems
• Help improve reliability, scalability, and infrastructure efficiency

What we offer

• Real production projects
• Strong engineering culture
• Flexible working format
• Opportunity to influence technical decisions
• Professional growth and interesting technical challenges

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

PwC Cloud & Digital team supports global cloud projects across Cloud Strategy, Migrations, Data Analytics, and DevOps. We help clients adopt cloud infrastructure, modernize data platforms, and optimize operations.

Your future role:

• Building data platforms (data warehouses, lakes, lakehouses) using Azure Databricks, MS Fabric, Azure Data Factory.
• Designing data flows using medallion architecture and supporting data migrations from legacy systems.
• Conducting data assessments with Data Modelers/Analysts and addressing data quality issues.
• Working with senior stakeholders to gather requirements and support modern data architecture design.
• Supporting Data Governance activities, especially around MDM and Data Quality.
• Understanding Data Science/Analytics use cases in industries like Consumer Goods, Retail, Manufacturing, or Financial Services.

Apply if you have:

• ~3 years of experience in Data Engineering or related fields (BI, Data Science).
• Hands‑on experience with Databricks, Snowflake, BigQuery, MS Fabric.
• Experience building data warehouses/lakehouses with Azure Data Factory / Synapse.
• Skills in PySpark/Python and SQL.
• Some exposure to CI/CD (Azure DevOps, Jira).
• B2+ English and ability to prepare technical documentation.
• Experience using modern tech and AI tools in daily work.

Nice to have:

• Cloud certifications (Azure/AWS/GCP) and Data Governance certifications.
• Training via platforms like Coursera/Udemy/Datacamp.
• Knowledge of data modelling (e.g., Kimball), Data Strategy, Data Quality, and MDM.
• Experience with Agile (Scrum), ML/GenAI use cases, or Agentic AI for data automation.
• Work with senior stakeholders (e.g., CDOs) in Manufacturing, Consumer Goods, or Financial Services.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

Centralized Reporting and Analytics team covers company-wide corporate reporting needs. Interacting with internal clients (Delivery management and Corporate functions management) we build automated solutions in reporting and data analysis covering different internal company processes and practices.
Our team: around 20 people distributed in different countries but in close virtual cooperation.
Technologies used: Tableau and PowerBI as the main reporting tools, MS SQL database for our main data sources.

• Responsibilities:

  Tableau/PBI reports development and support:
  - Requirement clarification with the client
  - Preparation of data sources & setting up development task for the DWH team where needed
  - Draft version design & development and UAT with a customer
  - Setting up interactive elements in dashboards (actions, parameters-switchers, etc.)
  - Visibility permissions management (row-level security) inside a report
  - Technical documentation preparation
  - Release preparation and presenting for end-users
  - Controlling permissions on a site - project - workbook levels
  - Background tasks monitoring (extracts, subscriptions, etc.)
  - Reporting adoption & user's behavior monitoring (via in-built and custom tools)

• Mandatory Skills Description:

  2+ year of reporting experience with Tableau and/or PowerBI
  Strong skills in SQL
  Bachelor's Degree or higher education level
  Strong data analysis skills
  Good presentation and data visualization skills
  Great attention to details, structured and analytical approach, critical and logical thinking