ibs

SQL-разработчик

разработка и поддержка ETL‑процессов: выгрузка данных из Greenplum и загрузка в ClickHouse;

ibs · На сервисе с: 28.09.26 11:56

Зарплата не указанаРоссияМоскваОфис
Обязанности:
  • разработка и поддержка ETL‑процессов: выгрузка данных из Greenplum и загрузка в ClickHouse;
  • проектирование и оптимизация пайплайнов перемещения данных между контурами;
  • написание и оптимизация SQL‑запросов в ClickHouse;
  • настройка и поддержка процессов интеграции данных в рамках перехода с ClickSense на АС Навигатор;
  • участие в миграции данных и обеспечении непрерывности работы аналитических процессов;
  • работа в связке с командой аналитиков и разработчиков Greenplum.
Требования:
  • оконченное высшее образование;
  • опыт работы с ClickHouse от 2 лет: проектирование таблиц, партиционирование, оптимизация запросов;
  • уверенное владение SQL, понимание принципов работы колоночных СУБД;
  • опыт ETL‑разработки: выгрузка, трансформация, загрузка данных;
  • опыт работы с Greenplum (или другими MPP‑СУБД) — как источник данных;
  • понимание архитектуры хранилищ данных и принципов DWH.
Условия:
  • оформление по ТК РФ с первого дня и все социальные гарантии;
  • офисный формат работы;
  • ДМС после испытательного срока;
  • страхование жизни сотрудника;
  • для работы предоставляем ноутбук, наушники, мышь, при необходимости – и другую технику;
  • доступ к библиотеке IBS, к открытым бесплатным курсам от "Среды развития", к вебинарам "Биржи знаний";
  • бонусы и бенефиты для наших сотрудников: подарки для детей ко Дню знаний, на Новый Год, скидки у корпоративных партнёров;
  • подарки для сотрудников, вступающих в брак;
  • материальная помощь на рождение и усыновление детей;
  • награда за лояльность к компании и премия за выслугу лет.

Похожие вакансии BI / DWH / ETL специалисты

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T

Staff Analytics Engineer

taxdomeНа сервисе с: 03.10.26 18:54
Зарплата не указанаНе указана странаЛокация не указанаУдалёнка

About TaxDome

At TaxDome, we're building the #1 practice management platform for accounting firms in the US and globally. Founded in 2017, we've grown into a 400+ fully remote team across 40+ countries, serving tens of thousands of businesses worldwide with millions of end clients.

How we work

You'll be part of a globally distributed team built on trust, ownership, and self-management.

We focus on outcomes over activity — prioritizing clear ownership, pragmatic decision-making, and accountability for results over rigid processes. Collaboration is central to how we operate: we communicate openly, involve the right people early, and continuously improve how we build products and teams together.

About this role

We're hiring a Staff Analytics Engineer to join TaxDome's data team — the group building and owning the analytics warehouse on BigQuery. You'll work across the full data lifecycle: designing and evolving data models, onboarding new sources, building analytics for product and business teams, and contributing to AI-native workflows and agentic pipelines. The team works AI-first — Claude Code and LLM tooling are embedded in the daily workflow, not an experiment.

It’s a fully remote role, we are hiring across European timezones.

Our tech stack

  • Cloud: Google Cloud Platform (BigQuery, GCS, GKE/Kubernetes)
  • DWH: BigQuery (cross-region, column-level security, PII masking)
  • Transformations & data load: dbt & Python
  • Orchestration: Apache Airflow on Kubernetes, Python ETL
  • BI: Data Studio
  • Process: GitLab, CI checks for layer architecture, AI-assisted code review
  • AI: Claude Code, LLM-driven development and analytics

What you'll be responsible for

  • Onboard new data sources end to end — from raw ingestion to certified marts.
  • Advance data quality: tests, contracts, metrics dashboards, and anomaly monitoring.
  • Contribute to warehouse architecture evolution: conventions, code review, documentation, and AI-ready data contracts.
  • Build and maintain dashboards for product and business teams; design metrics and bring them to self-service.
  • Drive analytical work from business question to reproducible analysis with a clear decision recommendation.
  • Develop models and analyses with AI assistants (Claude Code and similar) as a primary workflow, not a shortcut.
  • Help build AI-native team processes: automating routine work, agentic pipelines for documentation, testing, and ad-hoc analysis.
  • Act as the translator between business questions and data model design.

What you bring

Must-have

  • Proven depth in data roles — analytics engineering, data analysis with an engineering orientation, or data engineering with strong analytical capability.
  • Advanced SQL — you write and review complex queries comfortably and reason about performance trade-offs.
  • Hands-on production experience with dbt: incremental models, snapshots, tests, macros, and project organisation.
  • Experience designing DWH layers and reasoning about trade-offs: normalisation vs. marts, full rebuild vs. incremental, SCD2.
  • Python for ETL tasks and data analysis.
  • Experience building dashboards and metrics with the ability to drive analysis through to a decision — not just a table.
  • Real, embedded experience working with AI assistants in your daily workflow — LLMs as a core tool, not an occasional experiment.
  • Experience with Airflow or another orchestration platform
  • Advanced stakeholder and project management: able to take a vague business problem, decompose it into a plan, and drive it to completion independently.

Nice-to-have

  • SaaS product analytics background: PLG metrics, funnel analysis, cohort modelling.
  • Experience with GA4, HubSpot, or Stripe data.
  • Understanding of data privacy requirements: GDPR, PII masking, policy tags.
  • Experience building agentic pipelines or automations on top of LLM APIs.

What we offer

At TaxDome, we aim to create an environment where people can do their best work and grow alongside the company.
  • Competitive compensation, paid in USD, transparently shared before the first interview
  • Performance-based incentive plan
  • Fully remote work with flexible hours
  • 30 paid days off annually, plus sick days as needed
  • Health & well-being support
  • Learning & development budget to support your professional growth
  • English lessons reimbursement
  • Co-working space reimbursement
  • Company-provided equipment (conditions may vary depending on the role)
  • A high level of autonomy and ownership in your work
  • The opportunity to make a real impact in a fast-growing global SaaS company
  • A collaborative, international team with a strong product mindset
Upon successful completion of the interview process and acceptance of the offer to join, an employment verification check will be conducted as part of pre-boarding — confirming job titles and dates of engagement with 2 of your previous employers. This is a required step for all new joiners.

If you're excited about this opportunity and believe you could make an impact at TaxDome, we'd love to hear from you!
​
By applying, you acknowledge that your personal data will be processed in accordance with TaxDome’s Privacy Notice.
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L

Senior Director, Enterprise Data & Governance

LightspeedНа сервисе с: 03.10.26 17:52
Зарплата не указанаMontrealУдалёнка

Hi there! Thanks for stopping by 👋

Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place!

We’re looking for a Senior Director, Enterprise Data & Governance to join our Data team in Canada.

You will partner directly with the Business and serve as the chief architect of our corporate data strategy, bridging the gap between deep technical infrastructure and executive business vision. You will lead your global team to drive seamless data flows, optimize day-to-day data operations, and transform our data ecosystem into a highly governed, scalable, and AI-ready asset.

You will be a key player in our Data Office, applying your data expertise and elevating data standards across the organization. If you are a seasoned data executive who thrives on mastering complex SaaS data lifecycles (from ERP, CRM and billing engines to predictive AI consumption layers) this is the opportunity you've been waiting for to maximize the use of data to fuel business growth and make a tangible impact!

Please note that this role is a hybrid role located in Montreal, Canada.

What you'll be doing:

Leadership, Team & Stakeholder Management

  • People Management & Culture: A proven track record in people management, with a dedicated focus on driving career growth, mentorship, and hands-on support. You know how to cultivate a high-performing culture rooted in teamwork, collaboration, and continuous learning.

  • Global Pod Leadership & Accountability: Experience leading a global team of Data Analysts inside agile data Pods, owning the overall performance and results delivered. You will ensure your team works hand-in-hand with diverse business partners to build data models, manage pipelines, and analyze performance—enabling critical insights and operational efficiencies across Enterprise data domains (including Sales, Marketing, Revenue Operations, Finance, and Operations).

  • Strategic Partnership: Partner closely with C-suite and VP-level Business stakeholders to develop and execute a comprehensive Enterprise Data strategy aligned with business and technology objectives.

  • Roadmap Ownership: Oversee the development of data roadmaps for your Pods, ensuring deep compatibility with Enterprise Financial ERPs, planning tools, and subscription billing engines, while shaping the broader Data Office roadmap to industrialize data.

    Enterprise Data Architecture & Master Data Management (MDM)

  • Architecture Strategy: Maintain a deep understanding of our products, systems, and underlying data architecture to ensure clean logical isolation and robust data lineage.

  • MDM Design: Design, champion, and execute a comprehensive Master Data Management (MDM) strategy to establish a trusted "Single Source of Truth" across core operational systems, Lightspeed Products and core financial infrastructure.

  • Exploratory Modelling: Leverage deep system knowledge to develop exploratory data models across diverse data sources, supporting the Business with insightful datasets, enterprise reporting, and smart surfacing.

  • Cross-Functional Collaboration: Partner with the Data Solutions team to co-develop pod-specific data models, transitioning agile, domain-focused insights into scalable, production-grade assets that align with enterprise architecture and governance.

    Data Governance, Compliance & Quality Management

  • Framework Establishment: Collaborate with Business stakeholders to establish, promote, and implement strict data governance policies, standards, and procedures.

  • Data Integrity Enforcement: Monitor data quality and ensure data integrity across Lightspeed by fostering accountability, investigating discrepancies at the source, documenting findings, and driving continuous improvement.

  • Regulatory Compliance: Mitigate corporate risk by ensuring global compliance across diverse data footprints against data privacy regulations.

    Advanced Analytics & AI-Driven Consumption

  • Analytics Standards: Lead the development and adoption of the highest analytics standards and methodologies among the Data Office and across the organization.

  • Advanced Data Mining: Lead analysis and mining of large data sets to derive actionable insights using prescriptive, descriptive, predictive, exploratory, and inferential analysis.

  • Next-Gen Consumption: Support your team in creating measurement plans that move the organization beyond static dashboards into dynamic, semantic, and AI-driven data surfacing models (GenAI tools, predictive modeling, and automated alerting).

  • Cross-Functional Synergy: Collaborate with analytic engineers, analysts, and business stakeholders to understand complex requirements and help create user-friendly solutions.

What you need to bring:

  • Extensive Experience: 15+ years of dedicated experience in data operations, master data management (MDM), or data architecture roles, with at least 7+ years in a senior executive or directory-level leadership position.

  • Technical Mastery: Strong technical skills, including Strong technical literacy and familiarity with cloud data stacks, specifically Google Cloud Platform (GCP) BigQuery and Looker, alongside core SQL and GitHub capabilities. Experience with transformation and modeling tools like Dataform is a strong plus.

  • Systems Fluency: Hands-on experience navigating the data footprints of Enterprise ERPs and Planning tools (e.g., NetSuite, Oracle, Pigment), complex Order Management Systems (OMS), CRM platforms (Salesforce/HubSpot), and Billing & Subscription Management infrastructure.

  • SaaS Acumen: Strong business acumen and an understanding of the SaaS business model, multi-tenant architectures, and key SaaS performance metrics (MRR, LTV, CAC, NRR), with a passion for bridging the gap between technical insights and business strategy.

  • Linguistic Fluency: Exceptional communication skills in English (written and spoken) to articulate complex insights with clarity and impact, alongside strong interpersonal skills to collaborate effectively with cross-functional global teams. Professional fluency in French is strongly appreciated but not mandatory.

  • Execution & Mindset: Excellent organizational and project management skills, a self-starter mentality, and the proven ability to drive multiple priorities autonomously in a fast-paced setting. Strong instincts for identifying high-impact work aligned with business priorities, comfortable saying no, negotiating scope with stakeholders, and proposing tradeoffs..

Be a changemaker

You’ll enjoy:

  • A flexible work environment that empowers you to do your best work

  • A culture that celebrates performance

  • The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard

  • Career-defining opportunities

Plus benefits designed to keep you happy, healthy and fulfilled.

  • Flexible paid time off and remote work policies

  • Equity options, because this is your company too

  • Contributions to your pension plan. Your future matters

  • Training opportunities to grow your skills and career

  • Health and wellness credit so you feel your best

  • Time off to volunteer and give back to your community

  • Interest groups, employee led networks, social committees to sponsored sports teams

  • Computer purchase program to get your personal Macbook

  • Enhanced parental leave to support growing families

Fuel your growth. Find your people.

At Lightspeed, your growth is our priority. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you—all within a driven, diverse and inclusive team that’s passionate about empowering our communities

Please note that we ask applicants to disclose any criminal convictions, and we conduct criminal record checks as part of our hiring process for this role.

To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes.

Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Where to from here?

Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here.

Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs.

Who we are:

Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks.

Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries.

Lightspeed handles your information in accordance with our Applicant Privacy Statement.

 
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indrive

Senior Analytics Engineer

indriveНа сервисе с: 03.10.26 16:54
Зарплата не указанаГрузияАлмати (край Кахетия)

About the role

We’re looking for an Analytics Engineer to join our Data Engineering team.

Responsibilities

  • Foster a culture of working with data across the organization, ensuring data-driven decision-making
  • Create and maintain a unified system for processing, storing, and validating data, ensuring data integrity and accessibility
  • Design and build processes for processing and enriching data, participating in all stages of the data pipeline from data capture to consumer presentation
  • Develop and maintain infrastructure for big data storage and processing using tools like Kubernetes (K8S) and Terraform
  • Create and optimize APIs (REST, gRPC) for high-load data access services, enabling efficient data retrieval
  • Write integration and unit tests, develop automation tools for data validation and alerting
  • Сontribute to system design and architecture with the development team

Qualifications

  • Advanced proficiency in Python 3.7+ with strong experience in developing ETL processes using PySpark
  • Proven experience in developing data flows using Airflow2
  • High level of expertise in SQL, including complex queries and optimization
  • Extensive knowledge and industrial experience with Kubernetes (K8S)
  • Strong understanding of data processing algorithms and principles, with experience in Spark/Flink
  • Solid understanding of general programming concepts, including design patterns, OOP, modularity, and pure architecture
  • Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team

Benefits

  • Help us challenge injustice by creating fair choices for millions of people across 47 countries
  • Develop your professional skills with access to mentoring, career consulting, and learning programs
  • Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
  • Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
  • Work alongside people who take initiative, speak openly, and challenge themselves to grow
  • Improve your language skills through co-financed courses and internal speaking clubs
  • Annual salary from 49 100 EUR gross
Final benefits may vary depending on the location.

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