Jobs Data Engineer

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using SQL/Apache Spark (AWS Glue) and Airflow.
• Model and optimize data in Amazon Redshift and query large datasets via Amazon Athena.
• Write advanced SQL to transform raw data into clean, joinable, analysis-ready tables.
• Build and maintain Tableau dashboards and data sources, ensuring accuracy, performance, and usability for business stakeholders.
• Partner with stakeholders (marketing, product, BI) to translate business questions into robust data models.
• Ensure data quality by implementing checks/monitoring and documenting the data warehouse.

• Improve pipeline reliability, performance, and cost-efficiency on AWS, including evaluating and adopting dbt for transformations.

   

Requirements

• Advanced SQL proficiency – query optimization, window functions, complex joins, performance tuning on large datasets.
• Hands-on experience with the AWS data ecosystem – Redshift/Athena (Spark/Glue will be a plus).
• Python scripting for data processing/automation.
• Experience with Apache Airflow for pipeline orchestration.
• Experience building and maintaining dashboards/data sources in Tableau.
• Ability to communicate data logic and insights clearly to both technical and non-technical stakeholders.
• Solid understanding of data warehousing concepts – dimensional modeling, star/snowflake schemas, slowly changing dimensions.

Would be a plus 

• Familiarity with the concept of Data Lakehouse and open table formats (Apache Iceberg)
• Experience with dbt for transformation and modeling.
• Experience with marketing/attribution data (Meta, Google Ads, TikTok, AppsFlyer) or mobile app analytics.
• Familiarity with CI/CD practices for data pipelines.

Employee Benefits:

• Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
• Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy, autonomous hub) and 50% compensation for coworking spaces worldwide to ensure everyone has a comfortable and inspiring workspace.
• Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday.
• Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.
• 100% Sick Leave Compensation
• Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, and therapy costs.
• Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools.
• Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses.
• Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
• Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

Our partner is looking for a Senior Backend Developer who thrives in a deeply hands-on environment and enjoys being close to the code on a daily basis. This role is heavily focused on building, optimising, and scaling backend services in a high-load system where performance and reliability are critical.

We’re looking for a Senior SRE / DevOps Engineer to join our Platform Tribe – a lean and senior team where
ownership is high and expectations are even higher. This is a deeply hands-on role at the core of a high-traffic
system, where you’ll be directly responsible for maintaining reliability, performance, and stability in a fast-paced
environment.

You’ll be working on real-time production challenges, handling incidents, managing alerts, and being part of a
critical on-call rotation. This role requires resilience, strong decision-making under pressure, and a proactive
mindset to continuously improve systems operating at scale.

Main Responsibilities

– Own system reliability by actively monitoring platform health, managing alerts, and responding to incidents in real
time
– Participate in 24/7 on-call rotations, taking full ownership of production stability in a high-traffic (5-7k RPS)
environment
– Investigate incidents, perform root cause analysis, and implement long-term fixes to prevent recurrence
– Build and continuously improve monitoring, alerting, and observability across the Kubernetes (EKS) ecosystem
– Deploy, manage, and optimise infrastructure using Terraform, Helm, and GitOps tools (Flux/ArgoCD)
– Drive automation and proactively improve system resilience, reducing manual intervention and recurring issues
– Maintain and evolve CI/CD pipelines and infrastructure-as-code practices
– Collaborate closely with engineering teams to support deployments and minimise user impact in a live
environment
– Introduce and integrate new tools and technologies to enhance scalability, reliability, and performance
– Handle environment-specific requests and ensure smooth day-to-day platform operations under constant load

Mandatory Requirements

– Strong hands-on experience with Kubernetes (deployment, scaling, troubleshooting) in high-load environments
– Experience with GitOps tools such as FluxCD or ArgoCD
– Proven experience in incident response, root cause analysis, and postmortems in production systems
– Solid experience with AWS, Terraform, Docker, and CI/CD pipelines
– Experience with monitoring and observability tools such as Datadog, Prometheus, Grafana, and logging stacks
like ELK or CloudWatch
– Strong understanding of networking concepts and protocols
– Proficiency in at least one scripting language (e.g. Python, Go, Node.js)
– Experience working with version control systems (Git)
– Familiarity with incident management tools like PagerDuty, Opsgenie, or similar
– Ability to operate effectively in a fast-paced, high-pressure environment with strong ownership and accountability
– Proactive, resilient mindset with a focus on continuous improvement and system stability

We offer

– Competitive Salary
– Quarterly Bonuses
– Unlimited Paid Time Off
– Unlimited Paid Sick Leave
– Remote & Flexible Working
– Private Medical Insurance
– Financial Support for Life Events
– Professional Development Budget
– International Exposure
– Regular Company Events

We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe.
Your goal in the project is to develop an integration layer that will be an interface between the source and target systems for product, location and supplier data, and the master data management tool Syndigo.

Responsibilities:

• Take shared ownership in the development of the technical integration across Syndigo, legacy and downstream interfaces.
• Ensure data quality and mapping consistency between inbound source files and outbound update messages.
• Support production stability through monitoring, alerting, and dead-letter queue handling
• Build a maintainable and scalable solution that supports both initial load and ongoing update flows

Mandatory Skills:

* 8+ years of experience in Data Engineering
* AWS (DynamoDB, lambdas, SQS, EC, Fargate)
* CI/CD (Bitbucket, Jenkins)
* Python
* SQL
* Confluent Kafka
* Solid understanding of data flows, interfaces, mappings, and production support considerations
* Experience with data governance and master data management (Syndigo) is a strong advantage
* Clear communication
* Ownership
* Collaboration
* Problem-solving
* English C1

Nice-to-Have Skills Description:

* AWS certificates
* Prior experience in the fashion retail industry
* German

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.

We are currently looking for a Junior Data Engineer with Python and SQL skills to join our growing data team.

Across our projects, Python is the core skill we expect. Depending on your strengths, you may focus more on data engineering (pipelines, platforms, SQL) or data architecture (designing scalable data solutions). Many roles also include “full-solver” flexibility — contributing where needed, including automation, integration work, or enabling AI/GenAI use cases on modern platforms (including Microsoft technologies where relevant).

Key responsibilities:

• Data Pipeline Design & Development: Design, implement, and maintain scalable data pipelines and ETL/ELT processes, primarily using Python and Spark (PySpark), to ingest, transform, and deliver data from various sources into analytics and ML platforms.
• Data Modelling & Warehousing: Design and optimize data models (e.g. star/snowflake schemas), build and manage data warehouses and data lakes, and ensure data structures support reporting, analytics, and ML use cases.
• Data Preparation for ML: Collaborate closely with data scientists and ML engineers to understand data requirements, implement robust preprocessing and feature engineering steps, and ensure datasets are clean, consistent, and suitable for machine learning models.
• Performance & Reliability: Optimize data processing jobs and SQL queries for performance and cost efficiency, monitor data pipelines in production, and ensure reliability, scalability, and adherence to SLAs.
• Governance, Quality & Security: Implement data quality checks, validation frameworks, and governance standards; ensure data security, privacy, and compliance in line with PwC and client requirements.
• Learning & Development: Stay at the forefront of data engineering, big data, and cloud technologies, continuously improving existing solutions, tools, and processes.
• Mentorship: Support the growth of junior team members by sharing knowledge, reviewing code, and guiding them in data engineering best practices and project work.

Who We're Looking For:

• Programming Skills (Key Requirement)
  Strong programming skills in Python (e.g. pandas, PySpark, SQLAlchemy, airflow-like tools). Ability to write clean, maintainable, and testable code is essential. Experience with other programming languages is a plus.
• Demonstrated hands-on experience with building data pipelines, ideally using Spark (PySpark) or similar distributed processing frameworks.
• Designing and implementing ETL/ELT workflows.
• Working with large datasets and complex data transformations.
• Database Expertise: Proficiency in SQL databases (designing schemas, writing complex queries, optimization). 
• Cloud & Big Data (Nice to Have / Advantage): Experience with cloud data platforms (preferably Azure: Synapse, Databricks, Data Factory, Azure SQL, Data Lake) or similar services on AWS/GCP.
• Professional Background: At least 1-2 years of relevant professional experience in data engineering, BI engineering, or similar data-focused roles.
• Analytical Thinking: Strong analytical mindset with the ability to understand complex data landscapes, debug data issues, and design logical, efficient data flows.
• Language Skills: English at B2 level or higher.
  
  Policy statements:
  https://www.pwc.com/ua/uk/about/privacy.html

920 Solutions is a rapidly growing technology company specializing in iGaming solutions. We build reliable, scalable, and secure infrastructure that powers gaming platforms across multiple international markets.

We are looking for an experienced DevOps Engineer with a strong background in online casino or iGaming companies to help us scale, maintain, and continuously improve our infrastructure.

What You'll Do

• Design, build, and maintain reliable CI/CD pipelines.
• Manage and optimize AWS cloud infrastructure, including EC2, RDS, S3, CloudFront, and related services.
• Deploy, maintain, and scale containerized applications using Docker and Kubernetes.
• Administer PostgreSQL databases, including backups, replication, performance tuning, and high availability.
• Monitor infrastructure, automate operational processes, and respond proactively to incidents.
• Ensure the stability, security, and high availability of production environments.
• Collaborate closely with development teams to improve deployment and operational workflows.

What We're Looking For

• 5+ years of experience as a DevOps Engineer or Infrastructure Engineer.
• At least 5 years of hands-on experience in the online casino or iGaming industry (required).
• Strong expertise in AWS and building cloud infrastructure.
• Proven experience with Docker and Kubernetes, including deployments, scaling, and troubleshooting.
• Deep knowledge of PostgreSQL administration, performance optimization, backup strategies, and high availability.
• Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or similar.
• Strong Linux administration skills and Bash scripting experience.
• English proficiency sufficient for working in an international team.
• Experience using AI-powered development and automation tools is a plus.

Nice to Have

• Experience with Infrastructure as Code tools such as Terraform or CloudFormation.
• Hands-on experience with monitoring solutions including Prometheus, Grafana, CloudWatch, or similar.
• Experience implementing security best practices and infrastructure hardening.
• Solid understanding of CDN technologies, caching strategies, and high-traffic architectures.
• Experience supporting high-load production platforms serving large numbers of concurrent users.

If you're passionate about building reliable infrastructure, automating complex processes, and have proven experience working with online casino or iGaming products, we'd love to hear from you!

• Project Description:

  We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe.
  Your goal in the project is to develop an integration layer that will be an interface between the source and target systems for product, location and supplier data, and the master data management tool Syndigo.

• Responsibilities:

  • Take shared ownership in the development of the technical integration across Syndigo , legacy and downstream interfaces.
  • Ensure data quality and mapping consistency between inbound source files and outbound update messages.
  • Support production stability through monitoring, alerting, and dead-letter queue handling
  • Build a maintainable and scalable solution that supports both initial load and ongoing update flows

• Mandatory Skills Description:

  * 8+ years of experience in Data Engineering
  * AWS (DynamoDB, lambdas, SQS, EC, Fargate)
  * CI/CD (Bitbucket, Jenkins)
  * Python
  * SQL
  * Confluent Kafka
  * Solid understanding of data flows, interfaces, mappings, and production support considerations
  * Experience with data governance and master data management (Syndigo) is a strong advantage
  * Clear communication
  * Ownership
  * Collaboration
  * Problem-solving
  * English C1

• Nice-to-Have Skills Description:

  * AWS certificates
  * Prior experience in the fashion retail industry
  * German

• Languages:
  • English: C1 Advanced

• We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe.
  Your goal in the project is to develop an integration layer that will be an interface between the source and target systems for product, location and supplier data, and the master data management tool Syndigo.

   

• Responsibilities:

  • Take shared ownership in the development of the technical integration across Syndigo , legacy and downstream interfaces.
  • Ensure data quality and mapping consistency between inbound source files and outbound update messages.
  • Support production stability through monitoring, alerting, and dead-letter queue handling
  • Build a maintainable and scalable solution that supports both initial load and ongoing update flows

   

• Mandatory Skills Description:

  * 8+ years of experience in Data Engineering
  * AWS (DynamoDB, lambdas, SQS, EC, Fargate)
  * CI/CD (Bitbucket, Jenkins)
  * Python
  * SQL
  * Confluent Kafka
  * Solid understanding of data flows, interfaces, mappings, and production support considerations
  * Experience with data governance and master data management (Syndigo) is a strong advantage
  * Clear communication
  * Ownership
  * Collaboration
  * Problem-solving
  * English C1

   

• Nice-to-Have Skills Description:

  * AWS certificates
  * Prior experience in the fashion retail industry
  * German

• Languages:
  • English: C1 Advanced

About SpeedSize

SpeedSize powers the next generation of video-led e-commerce. Our patented psychovisual AI and AI-first delivery remove a compromise the industry has lived with for 30 years, speed or quality, so brands can serve full-quality video and imagery at a fraction of the size and load. We work with premium enterprise brands and we're scaling fast.

The role

You'll own the GTM OS: the systems that power our entire go-to-market motion across sales, marketing, partnerships, and the handoffs into finance, operating as one cohesive system fed by clean, structured, real-time data.

You'll transform HubSpot into a ledger for the entire company, deploy a PRM, deploy Sybill, and prepare the OS for AI agents (e.g. Gemini Enterprise). You'll build the reporting the company's divisions run on day to day, and own the data quality that holds it all together.

What you'll own

• HubSpot as the company ledger. Architect and build the object and data model, lifecycle states, pipelines, properties, and workflows so HubSpot becomes the ledger the entire company runs on.
• Context graph (Sybill). Deploy and own the context graph. It auto-populates HubSpot with clean, structured data and gives the entire company a unified, data-driven, customer-centric brain to query.
• Partner system (PRM, e.g. Introw.io). Deploy and own the PRM: data model, deal registration, attribution, partner workflows, and payouts.
• Data architecture, quality, and automation. Own enrichment, routing, scoring, and attribution, and automate lead capture, handoffs, lifecycle, and renewals so teams move without manual setup.
• Integrations and MCP. Connect the stack through APIs and prepare it for MCP access so it's ready for AI agents (e.g. Gemini Enterprise).
• Reporting and forecasting. Build the pipeline, forecasting, and attribution reporting the company's divisions run on day to day, and the data-quality standards that keep it trustworthy.

Who you are

• A GTM systems builder. You build revenue systems that compound. You sit where marketing handoffs meet sales execution and post-sale expansion, and you turn business problems into scalable systems.
• Fluent in HubSpot and the wider GTM stack. You know HubSpot cold as the system of record, and you've worked across CRM, automation, and data tooling to make a stack operate as one.
• AI-native. You think AI-first, you're comfortable with the technology, and you can design a data structure and systems built for the agentic future.
• Outcome-driven. Beyond knowing workflows, you tie every build to the business outcome it drives and ruthlessly prioritize your work against them.
• An owner. You think in outcomes and handoffs, and you run a domain end to end.

Requirements

• Proven experience building and owning GTM systems across sales and marketing
• Deep, hands-on HubSpot expertise as the system of record
• Experience deploying and integrating a PRM and the wider GTM stack
• Workflow automation, data architecture, and data-quality governance (enrichment, routing, scoring, attribution)
• API integration work and data modeling
• Revenue forecasting and pipeline analytics
• Familiarity with Google Workspace and Slack
• Plus: experience with agentic AI, MCP, and context graphs (Sybill)

How we work

You'll work directly with the SVP of Sales & GTM and closely with our CEO and CTO. We move fast, build from first principles, and expect owners.

At Promova, we're reimagining language education to help today's minds unlock their full potential — building learning that's calm, personal, and genuinely useful for people around the world. Our 150+ teammates share one mission: connect people, bridge cultures, and support lifelong learners everywhere — in every country except aggressor states (yes, even Antarctica).

We pair AI with human creativity so people can speak with confidence and feel at home in a new language. If you like solving real engineering problems, building systems that hold up under load, and shaping the platform learners rely on every day — you'll fit in here.
 

We're looking for a DevOps Engineer to join our Core Infrastructure team.

Our infrastructure team is the backbone for Promova and several internal products. We build reliable, cost-aware infrastructure that lets engineering teams ship without fighting their tooling. From AI features and Kubernetes clusters to developer tooling and multi-cloud setup, you'll help shape the foundation the rest of the company builds on.
 

Why This Role

Own the platform. You'll have end-to-end ownership of core infrastructure across AWS, Hetzner, Cloudflare, Kubernetes, and modern platform tooling.

Work on problems that matter. You'll design infrastructure that scales, improve reliability, automate the manual parts, and build the foundation for the AI features learners use every day. We'll be honest: some of this is greenfield, some is untangling what already exists — both are on the table.

Shape where the platform goes. There's real room to standardize infrastructure across products, bring in automation, make developer experience better, and influence architecture decisions across the company.

Build in an AI-first team. AI is part of how we build products and how we work day to day. You'll help our infrastructure support AI workloads — and use AI in your own engineering workflow.
 

What You'll Work On

• Own and evolve Promova's core infrastructure across AWS, Hetzner, and Cloudflare.
• Design, build, and maintain Infrastructure as Code with Terraform.
• Build and improve CI/CD pipelines with GitHub Actions, Argo CD and self-hosted runners.
• Manage and optimize Kubernetes (K3s) and AWS ECS environments.
• Improve reliability, observability, and incident response with Grafana, Prometheus, Loki, and related tooling.
• Support the infrastructure behind our AI features and internal platforms.
• Improve cloud cost visibility and bring spend down where it makes sense.
• Build provisioning and onboarding automation that makes developers' lives easier.
• Strengthen platform security through secrets management, access control, and solid infrastructure practices.
• Collaborate with fellow infrastructure engineers and help shape engineering standards across teams.
   

What We're Looking For

• 4+ years as a DevOps, Platform, Infrastructure, or Site Reliability Engineer.
• Strong hands-on experience with AWS and modern cloud infrastructure.
• Solid Infrastructure as Code experience, ideally Terraform, Ansible.
• Experience running Kubernetes in production.
• Good understanding of CI/CD pipelines, GitHub Actions and Argo CD.
• Comfortable with Docker and Linux administration.
• Experience with observability tooling such as Grafana, Prometheus, and Loki.
• Experience with secrets management such as Vault or AWS Secrets Manager.
• Strong scripting skills (Bash and/or Python).
• An ownership mindset, good judgment, and clear communication.
• Experience mentoring teammates or leading infrastructure work is a plus.
   

Interview Process

• Intro call with the Recruiter
• Technical Interview
• Bar Raising Interview
• Offer

Sounds like you? Apply — and help build the platform behind how people learn languages.

Role Overview:
We are looking for an experienced IAM Integration Engineer to support the implementation and integration of enterprise applications into a centralized IAM/IGA platform.
The engineer will be responsible for onboarding critical applications, configuring connectors and provisioning workflows, integrating Entra ID tenants and HR identity sources, and supporting testing and platform configuration activities. This is a hands-on technical role within a large-scale enterprise IAM transformation program.

Responsibilities:

• Integrate approximately 50 critical enterprise applications into the central IAM platform
• Configure and develop IAM connectors and integrations
• Implement provisioning and de-provisioning workflows
• Support integration with five Microsoft Entra ID tenants
• Integrate HR-driven identity lifecycle processes, including SuccessFactors
• Configure identity lifecycle automation (Joiner / Mover / Leaver processes)
• Support IAM platform configuration, testing, and troubleshooting
• Collaborate with security, infrastructure, application, and HR teams
• Participate in access governance and role assignment implementation
• Support system validation, UAT, and production readiness activities

Required Skills & Experience

• Strong hands-on experience with enterprise IAM/IGA platforms such as:
  ○ SailPoint
  ○ Saviynt
  ○ One Identity
  ○ or similar
• Experience with:
  ○ Connector development/configuration
  ○ Provisioning and de-provisioning
  ○ Workflow configuration
  ○ Application onboarding
• Strong knowledge of:
  ○ Microsoft Entra ID
  ○ Active Directory
  ○ Identity lifecycle management
• Experience integrating HR-driven identity feeds (SuccessFactors is a strong plus)
• Experience with APIs and scripting:
  ○ PowerShell
  ○ REST APIs
  ○ JSON/XML
• Understanding of identity governance and access management concepts
• Experience working in enterprise or large-scale IAM transformation environments

Nice to Have:

• Experience with SCIM integrations
• Experience with cloud IAM environments
• Knowledge of RBAC and access governance concepts
• Experience in regulated enterprise environments (insurance, banking, telecom, etc.)
• Experience with testing and IAM rollout activities

On behalf of our Client from France, Mobilunity is looking for an IOS Engineer.

Our client is a table management software and CRM that enables restaurant owners to welcome their customers easily. The app is useful to manage booking requests and register new bookings. You can view all your bookings, day after day, wherever you are and optimize your restaurant’s occupation rate. Our client offers a commission-free booking solution that guarantees freedom above all. New technologies thus become the restaurateurs best allies for saving time and gaining customers while ensuring a direct relationship with them.

Their goal is to become the #1 growth platform for Restaurants. They believe that restaurants have become lifestyle brands, and with forward-thinking digital products, restauranteurs will create the same perfect experience online as they already do offline, resulting in a more valuable, loyalty-led business.

Requirements:

• 5+ years of professional software development experience
• Strong commercial experience with Swift and iOS development
• Solid understanding of iOS architecture and best development practices
• Experience with React
• Proven ability to articulate and justify architectural decisions: weighing trade-offs around scalability, maintainability, and explaining the reasoning clearly to peers and stakeholders
• Knowledge of cloud infrastructure (AWS)
• Active user of AI development tools (Claude Code, Cursor, Copilot, or similar) – you’ve integrated these into your daily workflow and are curious about pushing them further
• Strong product mindset with the ability to contribute to feature design and product decisions
• A track record of working in Agile environments with cross-functional teams
• Upper-intermediate to advanced English proficiency

In return we offer:

• The friendliest community of like-minded IT-people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Mobilunity Medical Insurance program designed to attend our teams’ needs
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
• Perfect office location in the city-center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
• No open-spaces setup – separate rooms for every team’s comfort and multiple lounge and gaming zones
• English classes in 1-to-1 & group modes with elements of gamification
• Neverending fun: sports events, tournaments, music band, multiple affinity groups

Come on board, and let’s grow together!

Project description

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

Responsibilities

In-depth knowledge of Snowflake's data warehousing capabilities.

Understanding of Snowflake's virtual warehouse architecture and how to optimize performance

and cost.

Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.

Develop and optimize complex SQL scripts, stored procedures, and data transformations.

Work closely with data analysts, architects, and business teams to understand requirements and

deliver reliable data solutions.

Implement and maintain data models, dimensional modeling for data warehousing, data marts,

and star/snowflake schemas to support reporting and analytics.

Integrate data from various sources including APIs, flat files, relational databases, and cloud

services.

Ensure data quality, data governance, and compliance standards are met.

Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and

associated tools.

Participate in code reviews, testing, and deployment of data solutions in development and production environments.

Skills

Must have

5+ years of experience

Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).

Ability to write complex SQL queries, stored procedures, and user-defined functions.

Skills in optimizing SQL queries for performance and efficiency.

Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran

r similar tools for real-time and periodic data processing.

Proficiency in transforming data within Snowflake using SQL, with Python being a plus.

Strong understanding of data security, compliance and governance.

Experience with DBT for database object modeling and provisioning.

Experience in version control tools, particularly Azure DevOps.

Good documentation and coaching practice.

Nice to have

experience with AWS Lambda, particularly in utilising Python to develop data extraction functionalities.

ability to retrieve data from platforms like SharePoint or Salesforce and transfer it to an S3 bucket

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

• Responsibilities:

  • In-depth knowledge of Snowflake's data warehousing capabilities.
  • Understanding of Snowflake's virtual warehouse architecture and how to optimize performance
  and cost.
  • Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
  • Develop and optimize complex SQL scripts, stored procedures, and data transformations.
  • Work closely with data analysts, architects, and business teams to understand requirements and
  deliver reliable data solutions.
  • Implement and maintain data models, dimensional modeling for data warehousing, data marts,
  and star/snowflake schemas to support reporting and analytics.
  • Integrate data from various sources including APIs, flat files, relational databases, and cloud
  services.
  • Ensure data quality, data governance, and compliance standards are met.
  • Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and
  associated tools.
  • Participate in code reviews, testing, and deployment of data solutions in development and production environments.

• Mandatory Skills Description:

  • 5+ years of experience
  • Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
  • Ability to write complex SQL queries, stored procedures, and user-defined functions.
  • Skills in optimizing SQL queries for performance and efficiency.
  • Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran
  or similar tools for real-time and periodic data processing.
  • Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
  • Strong understanding of data security, compliance and governance.
  • Experience with DBT for database object modeling and provisioning.
  • Experience in version control tools, particularly Azure DevOps.
  • Good documentation and coaching practice.

• Project Description:

  The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.
  We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

• Responsibilities:

  • In-depth knowledge of Snowflake's data warehousing capabilities.
  • Understanding of Snowflake's virtual warehouse architecture and how to optimize performance
  and cost.
  • Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
  • Develop and optimize complex SQL scripts, stored procedures, and data transformations.
  • Work closely with data analysts, architects, and business teams to understand requirements and
  deliver reliable data solutions.
  • Implement and maintain data models, dimensional modeling for data warehousing, data marts,
  and star/snowflake schemas to support reporting and analytics.
  • Integrate data from various sources including APIs, flat files, relational databases, and cloud
  services.
  • Ensure data quality, data governance, and compliance standards are met.
  • Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and
  associated tools.
  • Participate in code reviews, testing, and deployment of data solutions in development and production environments.

• Mandatory Skills Description:

  • 5+ years of experience
  • Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
  • Ability to write complex SQL queries, stored procedures, and user-defined functions.
  • Skills in optimizing SQL queries for performance and efficiency.
  • Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran
  or similar tools for real-time and periodic data processing.
  • Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
  • Strong understanding of data security, compliance and governance.
  • Experience with DBT for database object modeling and provisioning.
  • Experience in version control tools, particularly Azure DevOps.
  • Good documentation and coaching practice.

• Nice-to-Have Skills Description:

  - experience with AWS Lambda, particularly in utilising Python to develop data extraction functionalities.
  - ability to retrieve data from platforms like SharePoint or Salesforce and transfer it to an S3 bucket

• Languages:
  • English: B2 Upper Intermediate

TJHelpers is committed to developing strong engineering teams through mentorship, real project experience, and our “Helpers as a Service” model. We provide structured growth, hands-on practice, and a supportive environment where engineers can evolve quickly and meaningfully.

We are looking for a Junior Data Engineer to join our team and help build and maintain reliable data pipelines, transformations, and datasets for modern products in fintech, AI, telecommunications, healthcare, and other data-driven domains.

This is a great opportunity to work with real-world data, grow in data engineering, and gain hands-on experience with SQL, Python, ETL/ELT processes, and modern data platforms.

Responsibilities

• Support the development and maintenance of data pipelines and ETL/ELT processes 
• Collect, clean, transform, and load data from databases, APIs, files, and external systems 
• Write and optimize SQL queries for data preparation and transformation 
• Assist in building datasets for analytics, reporting, and internal products 
• Support data quality, consistency, and reliability across pipelines and datasets 
• Work with structured and semi-structured data 
• Participate in troubleshooting and improving data processes 
• Assist in monitoring and improving data pipeline reliability and performance 
• Collaborate with engineers, analysts, and product teams 

Requirements

• Basic understanding of data engineering concepts and data pipeline architecture 
• Hands-on experience writing SQL queries and working with Python 
• Understanding of relational databases such as PostgreSQL or MySQL 
• Ability to write SQL queries using joins, filtering, aggregations, and transformations 
• Basic understanding of ETL/ELT processes 
• Understanding of data modeling and data transformation principles 
• Familiarity with data formats such as CSV and JSON and working with APIs 
• Basic understanding of structured and semi-structured data 
• Analytical thinking and attention to detail 

• Motivation to learn and grow in a technical environment 

   

Nice to Have

• Basic experience with Pandas 
• Basic familiarity with Spark or PySpark 
• Familiarity with Airflow, dbt, or similar tools 
• Understanding of data warehouses such as BigQuery, Snowflake, or Redshift 
• Familiarity with cloud platforms such as AWS, GCP, or Azure 
• Familiarity with Git 
• Experience with BI or analytics tools 

• Interest in data platforms, analytics engineering, or ML/AI workflows 

   

What We Offer

• Work with real production data systems and modern technologies 
• Mentorship from experienced engineers and tech leads 
• Clear growth path to Middle Data Engineer level 
• Supportive engineering culture focused on learning and practical development 
• Flexible schedule and fully remote work opportunities