Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 5 hours ago

Senior Data Engineer

automatit/26.00320 open roles

Where
Ukraine, Remote
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Data Engineerautomatit/26.003 · Ukraine, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on automatit/26.003's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 5 hours ago

The posting

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a Senior Data Engineer to join our growing Data & Analytics practice and build modern data solutions for our customers on AWS.

This is a highly hands-on engineering role. You’ll work across different customer environments and data challenges, from modernizing legacy pipelines and building lakehouse platforms to optimizing analytical workloads and owning smaller data platforms end-to-end.

You won’t be limited to one stack or one long-running product. One project may involve Spark and Apache Iceberg, another Redshift performance and data modeling, and another Kafka, OpenSearch, or a new data platform built from ingestion through analytics.

We’re looking for someone who can take ownership of a data engineering problem, make sound technical decisions, and deliver independently without needing constant direction.

📍 Work location: remote from Ukraine

Curious about what it's really like to work at Automat-it?

Explore our benefits, culture, and what success in your first year could look like here.

If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities

  • Design, build, and optimize production data pipelines and data platforms on AWS.
  • Build scalable data processing workloads using Spark/PySpark, Python, and SQL.
  • Build and modernize data lakes and lakehouse architectures, working with technologies such as Amazon S3, Apache Iceberg, AWS Glue, and related data services.
  • Design, troubleshoot, and optimize analytical workloads and data warehouses, including Amazon Redshift and other OLAP platforms.
  • Modernize legacy and inefficient data workloads, including moving existing ETL/ELT processing to scalable distributed data architectures.
  • Work with streaming and event-driven data pipelines using technologies such as Kafka, Kinesis Data Firehose, and related services.
  • Investigate real production data problems, from performance bottlenecks and data modeling issues to upstream/downstream dependencies, and recommend practical solutions.
  • Take ownership of customer projects end-to-end, from understanding the technical problem through implementation, testing, and delivery.
  • Work directly with customers when needed to clarify requirements, explain technical decisions, and recommend solutions based on your expertise.
  • Build data foundations for analytics and ML workloads, collaborating with Data Scientists, DevOps, and MLOps engineers.
  • Contribute to dashboards and analytics when required using QuickSight or other BI tools.
  • Apply practical engineering practices around data quality, testing, CI/CD, security, governance, and infrastructure automation.

Requirements

  • Strong production experience in Data Engineering, with the ability to independently own and deliver data projects.
  • Deep hands-on experience with Apache Spark / PySpark and distributed data processing.
  • Strong Python and SQL skills.
  • Hands-on experience building data solutions on AWS.
  • Strong understanding of data lakes, lakehouse architectures, ETL/ELT, data modeling, and data processing at scale.
  • Experience with analytical databases and data warehouses. Strong Amazon Redshift experience is highly valuable; deep experience with platforms such as Snowflake, Synapse, or similar OLAP technologies is also relevant.
  • Understanding of streaming architectures and technologies such as Kafka or Amazon Kinesis.
  • Ability to troubleshoot existing data systems, understand how data flows across upstream and downstream components, and improve performance and reliability.
  • Ability to work autonomously, make pragmatic technical decisions, and take responsibility for delivery.
  • Good communication skills and the ability to discuss technical problems and solutions directly with customers in English.

Nice to have

  • Experience with Apache Iceberg or other modern open table formats and lakehouse technologies.
  • Amazon OpenSearch Service / Elasticsearch experience.
  • Experience with BI and visualization tools such as Amazon QuickSight, Tableau, or Power BI.
  • Terraform and Infrastructure as Code.
  • CI/CD practices for data pipelines, including data testing and validation.
  • Experience preparing data platforms for ML workloads using services such as Amazon SageMaker.
  • Exposure to Amazon Bedrock, GenAI, or agentic development.
  • Experience with Databricks, Snowflake, ClickHouse, or other modern data platforms

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against automatit/26.003's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on automatit/26.003's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    automatit/26.003's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.