Jobs Data Engineer

Description

The GlobalLogic technology team is focused on next-generation health capabilities that align with the client’s mission and vision to deliver Insight-Driven Care. This role operates within the Health Applications & Interoperability subgroup of our broader team, with a focus on patient engagement, care coordination, AI, healthcare analytics, and interoperability. These advanced technologies enhance our product portfolio with new services while improving clinical and patient

experiences.

Requirements

An AWS Data Engineer designs, develops, and maintains scalable data solutions using AWS cloud services.

Key Responsibilities:
    • Design, build, and manage ETL (Extract, Transform, Load) pipelines using AWS services (e.g., Glue, Lambda, EMR, Redshift, S3).
    • Develop and maintain data architecture (data lakes, warehouses, databases) on AWS.
    • Implement data quality and governance solutions.
    • Automate data workflows and monitor pipeline health.
    • Ensure data security and compliance with company policies.
Required Skills:
    • Proficiency with AWS cloud services, especially data-related offerings (S3, Glue, Redshift, Athena, EMR, Kinesis, Lambda).
    • Strong SQL and Python skills.
    • Experience with ETL tools and frameworks.
    • Familiarity with data modelling and warehousing concepts.
    • Knowledge of data security, access management, and best practices in AWS.
Preferred Qualifications:
    • AWS certifications (e.g., AWS Certified Data Analytics – Speciality, AWS Certified Solutions Architect).
    • Background in software engineering or data science.

• Hands-on experience with Oracle Database and log-based Change Data Capture (CDC) replication using AWS Database Migration Service (DMS) for near real-time data ingestion.

Job responsibilities

– Develops, documents, and configures systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.

– Involved in planning of system and development deployment, as well as responsible for meeting compliance and security standards.

– API development using AWS services in a scalable, microservices-based architecture

– Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.

– May document testing and maintenance of system updates, modifications, and configurations.

– May act as a liaison with key technology vendor technologists or other business functions.

– Function Specific: Strategically design technology solutions that meet the needs and goals of the company and its customers/users.

– Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or if a customisation solution would be required.

– Test the quality of a product and its ability to perform a task or solve a problem.

– Perform basic maintenance and performance optimisation procedures in each of the primary operating systems.

– Ability to document detailed technical system specifications based on business system requirements

– Ensures system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc.)

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

The future of Web3 starts with you: join us as a Data Engineer!

Requirements

— 3+ years of experience as a Data Engineer in high-load or data-driven environments
— Proficient in Python for data processing and automation (pandas, pyarrow, sqlalchemy, etc.)
— Advanced knowledge of SQL: query optimization, indexes, partitions, materialized views
— Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Prefect)
— Experience with streaming technologies (e.g., Kafka, Flink, Spark Streaming)
— Solid background in data warehouse solutions: ClickHouse, BigQuery, Redshift, or Snowflake
— Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code principles
— Experience with containerization and deployment tools (e.g., Docker, Kubernetes, CI/CD)
— Understanding of data modeling, data versioning, and schema evolution (e.g., dbt, Avro, Parquet)
— English — at least intermediate (for documentation & communication with tech teams)

Responsibilities

— Design, build, and maintain scalable and resilient data pipelines (batch and real-time)
— Develop and support data lake/data warehouse architectures
— Integrate internal and external data sources/APIs into unified data systems
— Ensure data quality, observability, and monitoring of pipelines
— Collaborate with backend and DevOps engineers on infrastructure and deployment
— Optimize query performance and data processing latency across systems
— Maintain documentation and contribute to internal data engineering standards
— Implement data access layers and provide well-structured data for downstream teams

Work conditions

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 22 business days of paid leave.
— Additional days off for national holidays.

We are looking for a Data Engineer to design, develop, and optimize our data infrastructure on Databricks. You will architect scalable pipelines using BigQuery, Google Cloud Storage, Apache Airflow, dbt, Dataflow, and Pub/Sub, ensuring high availability and performance across our ETL/ELT processes. You will leverage Great Expectations to enforce data quality standards. The role also involves building our Data Mart (Data mesh) environment and implementing CI/CD best practices. A successful candidate has extensive knowledge of cloud-native data solutions, strong proficiency with ETL/ELT frameworks (including dbt), and a passion for building robust, cost-effective pipelines.

Responsibilities:

• Data Architecture & Strategy - Define and implement the overall data architecture on GCP, including data warehousing in BigQuery/Databricks, data lake patterns in Google Cloud Storage, and Data Mart (Data Mach) solutions. Integrate Terraform for Infrastructure as Code to provision and manage cloud resources efficiently. Establish both batch and real-time data processing frameworks to ensure reliability, scalability, and cost efficiency.
• Pipeline Development & Orchestration - Design, build, and optimize ETL/ELT pipelines using Apache Airflow for workflow orchestration. Implement dbt (Data Build Tool) transformations to maintain version-controlled data models in BigQuery, ensuring consistency and reliability across the data pipeline. Use Google Dataflow (based on Apache Beam) and Pub/Sub for large-scale streaming/batch data processing and ingestion. Automate job scheduling and data transformations to deliver timely insights for analytics, machine learning, and reporting.
• Event-Driven & Microservices Architecture - Implement event-driven or asynchronous data workflows between microservices. Employ Docker and Kubernetes (K8s) for containerization and orchestration, enabling flexible and efficient microservices-based data workflows. Implement CI/CD pipelines for streamlined development, testing, and deployment of data engineering components.
• Data Quality, Governance & Security - Enforce data quality standards using Great Expectations or similar frameworks, defining and validating expectations for critical datasets. Define and uphold metadata management, data lineage, and auditing standards to ensure trustworthy datasets. Implement security best practices, including encryption at rest and in transit, Identity and Access Management (IAM), and compliance with GDPR or CCPA where applicable.
• Scientists & Analytics Enablement - Collaborate with Data Science, Analytics, and Product teams to ensure the data infrastructure supports advanced analytics, including machine learning initiatives. Maintain Data Mart (Data mesh) environments that cater to specific business domains, optimizing access and performance for key stakeholders.

Requirements:

1. Experience
- 3+ years of professional experience in data engineering, with at least 1 year
in mobile data
2. Technical Expertise with GCP Stack
- Proven track record building and maintaining BigQuery environments and
Google Cloud Storage based data lakes.
- Deep knowledge of Apache Airflow for scheduling/orchestration and ETL/ELT
design.
- Experience implementing dbt for data transformations, RabbitMQ for
event-driven workflows, and Pub/Sub + Dataflow for streaming/batch data
pipelines.
- Familiarity with designing and implementing Data Mart (Data Mach) solutions,
as well as using Terraform for IaC.
3. Programming & Containerization
- Strong coding capabilities in Python, Java, or Scala, plus scripting for
automation.
- Experience with Docker and Kubernetes (K8s) for containerizing data-related
services.
- Hands-on with CI/CD pipelines and DevOps tools (e.g., Terraform, Ansible,
Jenkins, GitLab CI) to manage infrastructure and deployments.
4. Data Quality & Governance
- Proficiency in Great Expectations (or similar) to define and enforce data quality standards.
- Expertise in designing systems for data lineage, metadata management, and
compliance (GDPR, CCPA).
- Strong understanding of OLTP (Online Transaction Processing) and OLAP
(Online Analytical Processing) systems.
5. Communication
- Excellent communication skills for both technical and non-technical
audiences.
- High level of organization, self-motivation, and problem-solving aptitude.

 

What we offer:

• Competitive compensation depending on experience and skills
• A friendly team of like-minded people
• Opportunities for learning and development
• Compensation for sick leaves
• 21 working days paid vacation + all Poland national holidays
• Corporate events and activities
• Private medical care
• Office work or remote working (based on your location)

Remote from Poland
Contract duration: April 20, 2026 – December 31, 2026
Experience: 4+ years

About the Role
We are looking for a Data Engineer with strong DevOps and infrastructure expertise to work on building and maintaining scalable data platforms and cloud environments. The role combines data engineering, cloud infrastructure management, and DevOps practices within the Azure ecosystem.

Requirements

Must have:

• Strong understanding of data modeling (data warehouses and transactional systems)
• Hands-on experience with Databricks, Delta Lake, Python, PowerShell, and MS SQL Server / T-SQL
• Experience with Terraform, ARM templates, YAML, and Azure cloud services (App Services, Application Gateway, Azure Firewall, Routing, API Management)
• Solid understanding of distributed systems, Windows Server administration, scaling, disaster recovery, and backup/restore processes
• Familiarity with identity and security protocols (OAuth2, OpenID Connect, Azure Entra ID)
• Experience working with SQL Server, Kusto Query Language, Gremlin Query Language, and Azure Artifacts
• Strong knowledge of Azure data stack: Azure Data Factory, Azure Data Lake, Cosmos DB
• Experience with DevOps practices including CI/CD, testing, monitoring, and optimization of data pipelines
• Proficiency with tools such as Azure DevOps, Git, Visual Studio
• Experience working with Windows and Azure environments
• Agile/Scrum experience

Nice to have:

• Experience with Power BI for data visualization
• Familiarity with SaaS solutions and Managed Identities
• Advanced PowerShell scripting (e.g., DSC)

Tech Stack:
Databricks, Data Lakes, Python, PowerShell, Terraform

Responsibilities

• Design and build data pipelines using Azure Data Factory and Databricks
• Develop and maintain data models for both transactional and analytical use cases
• Work with Azure-based infrastructure (IaaS and PaaS)
• Perform schema evolution and data migrations
• Optimize ETL processes and overall data workflows
• Automate and provision infrastructure using PowerShell, ARM templates, and Terraform
• Maintain and improve existing applications and DevOps infrastructure
• Troubleshoot cloud services and resolve technical issues
• Implement security practices and monitoring across cloud and DevOps environments
• Design and configure network infrastructure and reliability solutions
• Build and maintain CI/CD pipelines in Azure DevOps
• Participate in deployment processes and keep documentation up to date
• Ensure adherence to best practices in operations, backup, scaling, and disaster recovery

Location
Remote (candidates must be based in Poland)

We’re looking for a Senior Data Engineer to join a SaaS company working with large-scale web data and consumer insights for global brands.

Details: 
Format: Full-time, Remote

Duration: 6 months (with possible extension)

Start: ASAP 
English: Fluent 

Requirements:

- 5+ years of Data Engineering experience

- Strong PySpark, Python, SQL

- Hands-on experience with AWS

- Practical experience with Databricks (critical)

- Understanding of production-grade data pipelines and data quality

- Confident English for cross-team collaboration

Nice to have:

- MLflow / LLM exposure

- Big Data & Data Lake architectures

- CI/CD, DevOps experience

Data Engineer (ETL / Big Data / Streaming)

About Intela

Intela builds AI products and also operates as a B2B outstaffing partner. We help our clients hire strong engineers for long-term projects. This role is for one of our USA clients.

About the role

We are looking for a Data Engineer who can design and build data pipelines at scale. The focus is on large datasets or high-throughput data streams, data quality, and performance.

Responsibilities

— Design and build data pipelines (batch or streaming)

— Process large volumes of data (millions to billions of records)

— Handle data validation, deduplication, and consistency

— Ingest data from files, cloud storage, or streams

— Prepare data for analytics

— Make and explain architectural decisions

Requirements

— Strong Data Engineering experience

— Solid SQL and database knowledge

— Experience with ETL and large-scale data

— Experience with batch or streaming processing

— Good programming skills (Java or similar)

— Ability to design pipelines and explain choices

Nice to have

— Kafka, Redis, Elasticsearch

— Cloud platforms (AWS, GCP, Azure)

— Real-time data processing

AI

— Uses AI tools in development or willing to learn

— Can review and validate AI-generated code

If you have experience with data at scale, apply.

Маємо дві позиції. Одна США інша UK

Перша більше про репортінг

The project is a cloud-based analytics platform designed for commercial real estate. It provides tools for data analysis, portfolio management, financial insights, and lease tracking, helping owners, property managers, and brokers make informed, data-driven decisions.

Position Requirements
PowerBI skills:
• Able to understand the data sources and relevant data for analysis
• Design and refine data models, familiarity with a dimensional model
• Develop interactive reports and dashboards
• Knowledge of DAX

Azure and DB skills:
• Proficiency in ETL/ELT design, development and support
• Strong hands-on experience in Azure Data Factory
• Experience in Azure Functions
• Stored Procedures writing and optimization
• Telerik .NET Reporting experience (Nice to have)

Responsibilities
Continue improving existing data reporting tools. List of existing integrations (where data comes from):
- Procore
- DealPath
- Yardi
- MRI
- JDE
- VTS
- OneSite
- CoStar
- Argus
- Salesforce
- RealPage

Nice to have
Basic Python skills

Друга більше про дата моделінг

Requirements
Data Integration/ETL (Azure Data Factory, Databricks)
SQL Server (T-SQL, stored procedures)
Dimensional Data Modelling (Kimball/star schema)
Power BI (DAX, data visualisation) 

Metamindz is a fast-growing UK-based IT software company. We support global clients by providing fractional CTOs-as-a-service, building digital products, hiring exceptional technical talent, and conducting in-depth tech due diligence.

We’re currently looking for a Cloud Engineer (GCP / IoT) to join one of our startup clients in a part-time engagement. This is a full-time opportunity for a hands-on engineer who can take ownership of cloud data platforms and backend systems, working with high-volume IoT data and real-time analytics in production environments.

Responsibilities:

• Own and operate the cloud-based backend and data platform supporting large-scale IoT deployments
• Architect, build, and maintain high-volume data ingestion pipelines using GCP services (BigQuery, Dataflow, Pub/Sub)
• Design and manage streaming and batch data workflows for real-time and historical analytics
• Define data storage, querying, retention, and archiving strategies across warehouses and data lakes
• Ensure backend services, APIs, and data pipelines are secure, scalable, observable, and fault-tolerant
• Set up monitoring, logging, alerting, and recovery strategies for event-driven workloads
• Collaborate closely with the CTO, embedded engineers, and product teams to align device capabilities with cloud and data architecture
• Contribute to data platform evolution, including governance, access policies, and metadata management

Requirements:

• 3–5 years of commercial engineering experience in cloud, data, or backend roles
• Strong hands-on experience with GCP and its data ecosystem (BigQuery, Dataflow, Pub/Sub)
• Solid experience with relational databases (Postgres, MySQL), including schema design, migrations, indexing, and scaling strategies
• Proven experience building and maintaining data pipelines, particularly for IoT or time-series data
• Hands-on experience with Python (Node.js is a plus)
• Experience designing and consuming APIs in distributed or microservices-based systems
• Familiarity with CI/CD pipelines, environment management, and Infrastructure as Code (Terraform)
• Good understanding of cloud security, IAM, and best practices for production systems
• Ability to work independently in a startup environment and make pragmatic technical decisions

Nice to Have:

• Google Professional Data Engineer certification
• Experience with orchestration tools such as Airflow / Cloud Composer
• Exposure to applied ML or AI use cases (e.g. anomaly detection, forecasting on IoT data)
• Experience using managed ML services like GCP Vertex AI

What We Offer:

• Opportunity to work on a real-world, IoT-powered product with visible impact
• High ownership and influence over technical architecture and data strategy
• Collaborative startup environment with direct access to decision-makers
• Modern cloud stack and meaningful engineering challenges around scale and reliability
• Competitive compensation aligned with experience and responsibilities

How to Apply:

Please send a short blurb about yourself — and tell us your favorite ice cream flavor (mine is cherry 🍒)

We are looking for a Web Infrastructure & Cloudflare Specialist to support and maintain the technical foundation of our web projects in the iGaming / affiliate marketing space.

This role is focused on domain infrastructure, website availability, Cloudflare setup, and basic web security. You will work closely with marketing and product teams to ensure that our websites, mirrors, and landing pages remain stable, secure, and accessible.

Responsibilities

• Manage the domain infrastructure across multiple projects
• Configure and maintain Cloudflare settings, including:
  • DNS
  • CDN
  • WAF
  • SSL
  • security and firewall rules
• Set up and support website mirrors and domain rotation
• Monitor website availability and respond quickly to downtime or blocking issues
• Manage domains through registrars such as GoDaddy, Namecheap, and similar platforms
• Implement and maintain basic website protection, including anti-DDoS and firewall rules
• Create and support simple websites and pre-landing pages using WordPress or similar CMS platforms
• Handle basic technical SEO setup, including:
  • meta tags
  • robots.txt
  • sitemap
  • canonical tags
• Support the technical infrastructure of affiliate and marketing websites

Requirements

• Hands-on experience with Cloudflare
  • DNS
  • WAF
  • SSL
  • caching
  • security settings
• Solid understanding of domain infrastructure and DNS
• Experience managing multiple domains and website mirrors
• Experience building and maintaining websites via CMS platforms such as WordPress
• Basic understanding of technical SEO
• Understanding of website security and protection practices
• Ability to work with hosting providers and VPS environments

Nice to Have

• Experience in iGaming, affiliate, or betting projects
• Experience with Cloudflare advanced security features and anti-bot rules
• Experience with server infrastructure, including Linux and Nginx
• Experience with large-scale domain management

Role Overview

In this position, you will be responsible for:

• ensuring the stability and availability of websites
• managing domain infrastructure
• maintaining basic web security
• providing technical support for pre-landing pages and affiliate websites

GR8 Tech builds B2B iGaming platforms for operators who play to lead.

We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.

With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.

Our ambition drives us. Our people make it real.

If you’re a challenger in spirit and a champion in action — join us.

Why this role exists:

We’re looking for a Senior Data Engineer to design and operate a scalable data infrastructure powering a high-throughput, production-grade platform.

You will own data systems that support analytics, operational workloads, and ML-driven capabilities across a multi-tenant environment. This is a hands-on senior role with architectural responsibility and end-to-end ownership under strict reliability, performance, and SLA requirements.

You will influence core data architecture decisions and help evolve the platform to support growing scale and complexity.

What you’ll drive:

Core Responsibilities

• Design and operate batch and streaming data pipelines.
• Architect and evolve data storage layers (lake, analytical, operational).
• Develop scalable data models for analytics, ML, and operational systems.
• Ensure data quality, consistency, and observability across pipelines.

Platform & Reliability

• Implement real-time processing using event-driven architectures.
• Build ingestion and transformation workflows (ETL/ELT).
• Own backfills, reprocessing strategies, and data migrations.
• Implement CI/CD, monitoring, and SLA-driven operational practices.

Collaboration

• Partner with engineers, analysts, and data scientists to design reliable and scalable data solutions.
• Contribute to data platform standards and best practices.

Technical Environment

• Core: Python, SQL
• Streaming: Kafka
• Storage: PostgreSQL, Redis (ElastiCache), S3
• Analytics: AWS Athena, Starrocks
• Vector: PostgreSQL + pgvector
• Infrastructure: AWS, batch orchestration

What makes you a GR8 fit:

Must-have

• 5+ years of experience building and operating production-grade data systems under SLA constraints.
• Strong proficiency in SQL and Python.
• Hands-on experience with streaming systems (Kafka or similar).
• Experience with batch processing and workflow orchestration.
• Production experience with relational databases (PostgreSQL or similar), including performance tuning, indexing, and partitioning.
• Experience designing high-throughput and low-latency systems.
• Solid understanding of point-in-time correctness and reproducible data pipelines.
• Experience with caching systems (Redis or similar).
• Cloud experience (AWS preferred).
• Experience with analytical engines (Athena, StarRocks, ClickHouse, or similar).
• Experience with distributed processing frameworks (Spark, Flink, Beam, or similar).
• Experience implementing data quality frameworks and CI/CD for data pipelines.

Familiarity with vector databases or columnar storage systems.

Nice-to-have

• Experience supporting ML workloads (e.g., feature pipelines or feature storage patterns).
• Familiarity with training-serving consistency concepts.
• Experience building shared data platform components.
• Experience building lightweight data-serving APIs (e.g., FastAPI).
• Experience working with containerized environments (e.g., Docker).

Why you’ll love working here: 

Benefits Cafeteria — annual budget you allocate to:

Sports • Medical • Mental health • Home office • Languages.

Work-life & support

• Paid maternity/paternity leave + monthly childcare allowance.
• 20+ vacation days, unlimited sick leave, emergency time off.
• Remote-first + tech support + coworking compensation.
• Team events (online/offline/offsite).
• Learning culture with internal courses + growth programs.

Our culture & core values:

GR8 Tech culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.

FUELLED BY TRUST: we’re open, honest, and have each other’s backs.

OWN YOUR GAME: we take initiative and own what we do.

ACCELER8: we move fast, focus smart, and keep it simple.

CHALLENGE ACCEPTED: we grow through challenges and stay curious.

BULLETPROOF: we’re resilient, ready, and always have a plan.

Client

Our client is a leading AI‑powered workforce transformation and talent management platform.

Position overview

We are seeking a Senior Data Engineer / Team Lead to join a rapidly growing data organization powering an AI-driven HR technology platform used by enterprise customers worldwide.

This is a hands-on senior engineering role focused on building, operating, and evolving a modern data platform leveraging Google BigQuery and Kubernetes-based services. The position blends data engineering, analytics enablement, and platform ownership to deliver reliable, scalable, and high-quality data solutions used across internal teams and customer-facing analytics products.

The successful candidate will collaborate closely with product, engineering, and analytics teams to build robust data pipelines, enable reporting capabilities, and contribute to technical best practices and platform evolution. During an initial transition period, the role may also include technical leadership responsibilities until a dedicated Engineering Manager joins.

Responsibilities

• Design, build, and maintain scalable data pipelines using modern ELT practices.
• Develop and optimize data models within BigQuery and ensure performance, reliability, and cost efficiency.
• Operate and enhance Kubernetes‑based data services as part of the data platform.
• Build clean, reusable datasets to support analytics and reporting needs.
• Support the development of customer‑facing dashboards and analytics features.
• Define and maintain core business metrics and the associated data transformations.
• Enable self‑service data access for internal teams across the organization.
• Implement monitoring, alerting, and observability for all data workflows and pipelines.
• Ensure data correctness, consistency, and overall operational stability.
• Troubleshoot production data issues and drive improvements to system resilience.
• Provide technical guidance and mentorship to engineers during the transition period.
• Participate in design discussions, architecture decisions, and engineering best practices.
• Collaborate closely with product, analytics, and engineering teams to deliver scalable solutions.
• Translate business requirements into well‑designed technical implementations.
• Contribute to continuous improvements in development workflows and team processes.

Requirements

• Strong experience with SQL and data modeling.
• Hands-on experience with Google BigQuery or comparable cloud data warehouses.
• Proven ability to build and operate data pipelines in production environments.
• Programming proficiency in Python, Java, or Node.js.
• Experience working with containerized environments, including Docker and Kubernetes.
• Solid understanding of modern ELT workflows and analytics engineering practices.
• Experience using dbt or similar data transformation frameworks.
• Background supporting customer-facing analytics products.
• Exposure to AI and machine learning data workflows.
• Experience implementing monitoring and alerting for production systems.
• Familiarity with Infrastructure as Code concepts, such as Terraform.
• Strong systems design capabilities and problem‑solving skills.
• Experience working in cloud-native engineering environments.
• Ability to clearly communicate technical concepts to cross-functional stakeholders.
• Comfortable operating in fast-paced product-driven environments.
• Strong ownership mindset with the ability to work autonomously.

Build the data backbone for scalable analytics

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced Data Engineer who’s ready to grow with us and shape high-load, data-driven solutions used by international partners.

In this role, you will expand and maintain our AWS-based data warehouse, design analytical data models, and build reliable data pipelines that power reporting and business intelligence. If you enjoy working with modern data infrastructure, optimizing pipelines, and collaborating closely with analysts and product teams — this role may be a great match.

Your key responsibilities will include:

– Extend and maintain the existing AWS-based data warehouse by expanding the dbt infrastructure and developing new transformation models using SQL and dbt.
– Design and optimize analytical data models in Amazon Redshift to support reporting and business intelligence use cases.
– Develop and maintain data pipelines orchestrated in Amazon MWAA (Airflow) using Python-based DAGs.
– Migrate existing data pipelines from AWS Glue to MWAA to improve orchestration, maintainability, and scalability.
– Build data ingestion and transformation workflows that process data from multiple sources such as Kafka, MongoDB, and PostgreSQL.
– Implement data validation and verification scripts using Python, pandas, and numpy to ensure data quality and reliability.
– Collaborate with analysts and product owners to deliver well-structured datasets and ensure data integrity, performance, and accessibility.

It’s a match if you have:

– 3+ years of experience in data engineering or related roles.
– Strong understanding of data warehousing concepts, ETL/ELT processes, and data transformation techniques (MWAA preferred).
– Hands-on experience with data ingestion and processing using Kafka.
– Proficiency in SQL and experience with relational and NoSQL databases such as PostgreSQL and MongoDB.
– Experience with Python programming for data processing, automation, and pipeline development.
– Ability to work independently, take ownership of data systems, and collaborate effectively with analysts and product owners.
– Excellent communication and collaboration skills.

What we offer:

– Flexible schedule and remote format or offices in Warsaw/Kyiv — you choose.
– 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).
– A supportive, friendly team where knowledge-sharing is part of the culture.
– Coverage for professional events and learning.
– Birthday greetings, team buildings, and warm human connection beyond work.
– Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Send over your CV now — we’d love to get to know you better!

About Us

Axia is a deal origination firm that connects investment banks and private equity firms with qualified deal flow. We're a bootstrapped team of 20 — lean, fast-moving, and growing.

The Role

You'll own our entire data sourcing process — finding, extracting, enriching, and delivering the data that powers our deal origination engine. You'll work heavily with Clay, APIs, web scraping, and third-party data providers to build reliable pipelines that feed our outreach and research teams.

What You'll Do

- Own the full data sourcing process — from identifying sources to delivering clean, enriched datasets to the team

- Build and maintain Clay workflows — design multi-step Clay tables that enrich, filter, and score leads at scale

- Integrate third-party APIs — connect data providers, enrichment tools, and internal systems into automated pipelines

- Build and maintain web scrapers — extract structured data from websites, directories, and public sources

- Ensure data quality — validate, deduplicate, and normalize data before it reaches outreach and research teams

- Evaluate new data sources — research and test new providers, tools, and methods to improve coverage and accuracy

- Document processes — maintain clear documentation so workflows are repeatable and not dependent on one person

What We're Looking For

Must-have:

- Strong experience with Clay (building complex tables, enrichment workflows, API integrations within Clay)

- Proficiency working with REST APIs — authenticating, paginating, transforming responses

- Web scraping experience — Python (BeautifulSoup, Scrapy, Playwright) or similar tools

- Comfortable cleaning and transforming messy data into structured, usable formats

- Professional English — clear written communication for async collaboration

- Some availability during US Eastern Time hours (full overlap not required)

Nice-to-have:

- Experience with data enrichment providers (Apollo, ZoomInfo, Clearbit, PeopleDataLabs, etc.)

- SQL and database experience (PostgreSQL, BigQuery, or similar)

- Familiarity with no-code/low-code automation tools (Make, Zapier, n8n)

- Background in B2B data, lead generation, or deal sourcing

- Experience with Python scripting beyond scraping (pandas, data pipelines)

Compensation

- Monthly payment based on experience

- Full-time contractor engagement

- Long-term role with growth potential as our data operations scale

Location

Remote — some overlap with US Eastern Time (EST) preferred, but full overlap not required.

Our client is seeking a motivated and skilled Data Engineer to join their core Data Engineering team. This is a hands-on role designed for a technical expert who enjoys building robust data architectures and working directly with the Modern Data Stack

As a Data Engineer, you will be responsible for designing, developing, and optimizing data transformation pipelines. You will play a crucial role in turning raw data into actionable insights by leveraging Snowflake and dbt to ensure high-quality, scalable data delivery.
 

Key Responsibilities:

• Design and build sophisticated SQL models to process both batch and near real-time data streams.
• Utilize dbt to implement reliable, version-controlled transformation logic.
• Ensure high performance and cost-efficiency within the Snowflake environment.
• Build and maintain scalable ELT/ETL processes to support the organization's evolving data needs.

Skills & Experience:

• Proven experience working with Snowflake architecture (Virtual Warehouses, Snowpipe, etc.).
• Strong proficiency in using dbt for modular data modeling and testing.
• Expert-level ability to write complex, performant, and clean SQL code.
• Solid understanding of data warehousing concepts, schema design (Star, Snowflake, Data Vault), and data lifecycle management.
• A proactive approach to problem-solving and a passion for deep-diving into technical challenges.

Nice to Have:

• Real-time Processing: Previous experience building SQL models specifically for real-time data pipelines.
• Experience with orchestration tools (e.g., Airflow, Dagster) or cloud platforms (AWS/Azure/GCP).

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 is seeking an experienced Databricks Platform Engineer to accelerate the maturation of our Databricks platform as a core component of the firm’s Data Mesh and AI-first strategy. This role will help shape the architectural direction, governance model, and enterprise standards that underpin secure and scalable Databricks adoption.

Role Overview

The Databricks Platform Engineer  will be responsible for executing against this strategy by driving service optimization, implementing advanced platform capabilities, and partnering with Product and Engineering teams to enable enterprise-scale adoption across client and corporate use cases.

Key Responsibilities:

• Lead the rollout and optimization of Databricks services at the PwC account level.
• Implement advanced capabilities including Unity Catalog, AI/ML models, Delta Sharing, Automatic Identity Management (AIM/SCIM), and Budget Policies for cost governance and tagging.
• Collaborate with Databricks and PwC platform teams to enhance and enable secure data exchange.
• Support networking design and optimization across Databricks environments.
• Partner with Product and Engineering teams to refine user experience, service provisioning models, and upcoming Databricks capabilities.
• Coordinate cross-functional efforts to enable AI-driven workflows and advanced analytics capabilities within Databricks.

Required Qualifications:

• 5+ years of experience in data engineering, cloud data platforms, or platform architecture.
• 3+ years of hands-on experience with Databricks or comparable modern data platforms.
• Expertise in Unity Catalog, Delta Sharing, Compute (classic and serverless), Microsoft Entra ID (SCIM/AIM), and Azure networking.
• Strong understanding of data governance, access control models, and FinOps best practices.
• Excellent communication skills with the ability to translate complex technical solutions into business value.

Preferred Qualifications:

• Databricks Certified Professional or Azure Databricks Certification.
• Hands-on experience with Databricks, Microsoft Fabric / OneLake, or other enterprise data platforms.
• Prior consulting experience or enterprise-scale platform transformation experience.

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